Pith. sign in

Paper Citation Record · LEDGER

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning

As of 14 August 2026, this Paper Citation Record lists 100 of 100 outbound references and 0 inbound Pith citation observations for arXiv:2412.11582.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.11582 v1

Coverage vector

measured 100 of 100 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:54:30.535259Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 100 outbound references displayed

  • verified exact2
  • verified fuzzy64
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e49ece3-3f2a-431f-bb2f-a63aed63b44e · outbound

This paper cites Detecting lesion bounding ellipses with gaussian proposal networks,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Detecting lesion bounding ellipses with gaussian proposal networks,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.161850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.161850Z digest=sha256:a5766b339c1cb7b294b88ade4a8c55d9b13526131f5c0bcc3ecee73ccfab8bb7

Observation 1d95aa63-7920-4eb8-a79a-3e74d3c1b551 · outbound

This paper cites Detection and tracking meet drones challenge,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Detection and tracking meet drones challenge,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.166776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.166776Z digest=sha256:fb30603bb7fb82a298114a5bac40dd6fcf1db3679962f2ff9a97938a056ca738

Observation cbf52445-a513-4d23-b9b3-f4beccad7cff · outbound

This paper cites Object detection in aerial images: A large-scale benchmark and challenges,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Object detection in aerial images: A large-scale benchmark and challenges,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.170770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.170770Z digest=sha256:aa6a1f667f1203b2fd3e485d0dfede251ed0e0bb9f1ca301cbda809c0ffd667b

Observation 9f0b9358-1667-42ba-960f-ad721b48d82a · outbound

This paper cites Vehicle perception from satellite,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Vehicle perception from satellite,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.175350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.175350Z digest=sha256:8f98db71525ec514ba26788fbfb08c4d33f4ea752bc7bba68d388104dacfde54

Observation 3cbfea48-269a-4066-9fef-9a51c3940563 · outbound

This paper cites Smart border surveillance system using wireless sensor network and computer vision,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Smart border surveillance system using wireless sensor network and computer vision,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.179587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.179587Z digest=sha256:1202dd0ebfca97420bc6f2dadce27a819afc4862361c36c42eada463cf4ff067

Observation 14caaca4-5373-472d-856e-630d907c8972 · outbound

This paper cites A small- sized object detection oriented multi-scale feature fusion approach with application to defect detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning A small- sized object detection oriented multi-scale feature fusion approach with application to defect detection,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.183699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.183699Z digest=sha256:371a9e0e793f759169cedaf448cafb6a22e9f5cd502decc49041044bcba9a1f9

Observation f06449bf-1207-484e-9b49-d89ea388a62e · outbound

This paper cites Object detection in 20 years: A survey,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Object detection in 20 years: A survey,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.187584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.187584Z digest=sha256:263b7a0985dab152452bd6a4d786902bde4244b6398a1c1b19bc0f13c6f7e512

Observation ffee7ad3-54e3-4e39-89c9-0fc37bc1f9ff · outbound

This paper cites Object detection in optical remote sensing images: A survey and a new benchmark,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Object detection in optical remote sensing images: A survey and a new benchmark,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.191273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.191273Z digest=sha256:0a0403ce8f0c40f067abad9ac02966d37937394b47f04cb3416b70ca1d20447d

Observation 335c0eca-ad25-4093-a0ce-b052e85463b0 · outbound

This paper cites Oriented r-cnn for object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Oriented r-cnn for object detection,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.194857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.194857Z digest=sha256:830f25bd21c46c51126b13ab693df2be2c84d47bb3696be82ee968b15ece0473

Observation 7662bb4c-4d0d-476f-93da-9724cd36400e · outbound

This paper cites Towards large-scale small object detection: Survey and benchmarks,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Towards large-scale small object detection: Survey and benchmarks,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.198309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.198309Z digest=sha256:a8edb88d7b8315c6bec081b88ce87ff3295b7c9c32dd3f5a8aa2b96737c6f7fe

Observation 8ae5f92e-e0f1-4303-901c-11c9689ece27 · outbound

This paper cites Microsoft coco: Common objects in context,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Microsoft coco: Common objects in context,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.202055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.202055Z digest=sha256:44aa05693c54052eb81dc149088e97533e04afc7fbd4c73e17bc606963ef2c77

Observation 1f9f1e09-250f-427c-8521-f9b0e8137455 · outbound

This paper cites Tiny object detection in aerial images,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Tiny object detection in aerial images,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.205448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.205448Z digest=sha256:eb75d33f7274100b1c6d411d27f913b79f704dc4b99a0164e32b5a21a67f0d4b

Observation a33a6b4a-60bc-4ed9-9801-65cd3d34600c · outbound

This paper cites Detecting tiny objects in aerial images: A normalized wasserstein distance and a new benchmark,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Detecting tiny objects in aerial images: A normalized wasserstein distance and a new benchmark,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.208958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.208958Z digest=sha256:8b7fcaf4f8d8a6441d4cd2ebcd47f620508d21ed5201d35afa410ed7729f742e

Observation 0d553d5e-c6da-4a56-9fab-7487817637cd · outbound

This paper cites DOTA: A large-scale dataset for object detection in aerial images,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning DOTA: A large-scale dataset for object detection in aerial images,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.212099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.212099Z digest=sha256:45b4846d9445a7bd4cc09182f099824a91c738738013a98098d1cef0cc4f00f7

Observation adb61144-bdfb-47ed-b4d4-e5d1f8366a9f · outbound

This paper cites Anchor-free oriented proposal generator for object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Anchor-free oriented proposal generator for object detection,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.215324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.215324Z digest=sha256:f6cf55268b3604b0d451cc351b6c0d516b106e1e83ccab83e3f5d19b11789fbf

Observation 3c884e38-0724-4fdf-b2ba-f54d63d68ece · outbound

This paper cites Dynamic coarse-to-fine learning for oriented tiny object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Dynamic coarse-to-fine learning for oriented tiny object detection,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.218348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.218348Z digest=sha256:7cf58a6bba2724a888acf43e18247d25c8f2140291b448d5800d5e4ab226f031

Observation 9720ee86-acc3-4994-a849-fc570eab46a6 · outbound

This paper cites Wider face: A face detection benchmark,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Wider face: A face detection benchmark,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.221266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.221266Z digest=sha256:6ee5417608ea9233d16d9c81ad642407096574ae9f40e2699077c7b556f7a051

Observation 283911f8-3895-41c1-96a3-9f3e1e58c634 · outbound

This paper cites Eurocity persons: A novel benchmark for person detection in traffic scenes,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Eurocity persons: A novel benchmark for person detection in traffic scenes,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.224394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.224394Z digest=sha256:032db529ca7f7fdcaa0af67b5739bb9d54c4ac224b5215fb6c2471c3341cc560

Observation a11760d9-6cfc-475c-9c45-0b296e9f7dc8 · outbound

This paper cites Scale match for tiny person detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Scale match for tiny person detection,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.227669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.227669Z digest=sha256:0839543679c04c7aacecf3f6b665fbf0ef64e9a765e55fae090e3995bdc6bd70

Observation 7f93d7a8-fb0b-4769-9d13-e1e790737064 · outbound

This paper cites Dense tiny object detection: A scene context guided approach and a unified benchmark,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Dense tiny object detection: A scene context guided approach and a unified benchmark,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.230718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.230718Z digest=sha256:c4aafd657cb9003575dc6dfd8cfe71acad451479035d222e47aadc53eef6b0d2

Observation bacfbaf8-59e5-4cc7-8f43-9d1757d45864 · outbound

This paper cites Ship rotated bounding box space for ship extraction from high-resolution optical satellite images with complex backgrounds,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Ship rotated bounding box space for ship extraction from high-resolution optical satellite images with complex backgrounds,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.438918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.233771Z digest=sha256:b233658fd22a19ddd47f063f3f97da581b5a227de1c0d422a9357aacbe76c5a8

Observation 750ca16b-b8e7-4aa6-8e91-01522702f228 · outbound

This paper cites Orientation robust object detection in aerial images using deep convolutional neural network,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Orientation robust object detection in aerial images using deep convolutional neural network,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.427584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.236767Z digest=sha256:b0aa0f6ca4c29646a85d7bdfffb63e150c6257f112910ab5657e32815f639bb2

Observation 9c3829fa-b24d-4eca-948a-8c8110185ba1 · outbound

This paper cites Vehicle detection in aerial imagery: A small target detection benchmark,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Vehicle detection in aerial imagery: A small target detection benchmark,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.240373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.240373Z digest=sha256:bff593af6cde3ae7f48075b3d5f2beb0a81569dc202597fe5283fc4f90fcd44a

Observation 0bd7fea2-920b-4a03-aaed-c47710f5585a · outbound

This paper cites Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.410941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.244193Z digest=sha256:1855d809f051c6c0fb9e5236626a664278c86fc2bdb2437cfb0ee1da4a303341

Observation 4bdf5245-b6f8-449c-bbaf-cb0c5f13baa1 · outbound

This paper cites Sar ship detection dataset (ssdd): Official release and comprehensive data analysis,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Sar ship detection dataset (ssdd): Official release and comprehensive data analysis,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.400023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.247642Z digest=sha256:8fb607cd939d35fb9b8a9983452f7cfba83289d76db51b06dd289c10d413979d

Observation fb8b1b4a-21e0-4093-82a7-3d4181c381ab · outbound

This paper cites Icdar 2015 competition on robust reading,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Icdar 2015 competition on robust reading,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.251141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.251141Z digest=sha256:fd8e510d28b208fb69b3e74a914ccf863cb92f582990d62d4363f69bfe68e601

Observation dde99947-1e0a-4d70-995e-202e92545218 · outbound

This paper cites Precise detection in densely packed scenes,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Precise detection in densely packed scenes,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.383204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.255032Z digest=sha256:e32772f182568abbfff0ab15fcdc1d2bdded36af88a83d046fa1b152a341c42b

Observation a73cb10d-6b2f-430e-a2ba-dedd736de275 · outbound

This paper cites The devil is in the crack orientation: A new perspective for crack detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning The devil is in the crack orientation: A new perspective for crack detection,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.372598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.258750Z digest=sha256:e8d796ff077457d2e661013c1cb8c241e529b36ba17df11166b74145b0bb22c2

Observation 397c5b51-bbc4-41d5-a638-87d150b628d6 · outbound

This paper cites Arbitrary-oriented scene text detection via rotation proposals,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Arbitrary-oriented scene text detection via rotation proposals,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.362198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.262626Z digest=sha256:fcee8dd1685fbc1a7fd2c9f2e1efb99b63158c80c00671691cbb260221fb27f2

Observation 39f2c906-5b25-4583-94df-0035d927bd4b · outbound

This paper cites Learning roi transformer for detecting oriented objects in aerial images,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Learning roi transformer for detecting oriented objects in aerial images,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.352201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.266498Z digest=sha256:78289d99275e97620995d2ede45ba7f950383a2b6d12179ffe578fb4217f3c1b

Observation b11a8196-a797-466a-9842-42def067119a · outbound

This paper cites R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:54:30.622222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.270136Z digest=sha256:322d9905cfaa7c7efc3c45d8ebcd1bf96b326d58718e3e9aa1e965c8e2700afe

Observation a63b0673-65af-43f9-9ef5-5bd535da8316 · outbound

This paper cites Align deep features for ori- ented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Align deep features for ori- ented object detection,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.342067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.274222Z digest=sha256:d4223e20ba17f818f08ab9ef882b5efab66c8b6d19e00003d86f4fc4c0818254

Observation 21ddd5d1-de62-4e5c-90c6-329f7e9c991b · outbound

This paper cites FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:54:30.607578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.277525Z digest=sha256:2813bca629e55e1972f1191fd0ffc1829346de0293f293dd40a3506dee8f8fb7

Observation 89db0c15-c6f8-4af9-8ff0-704dca230a35 · outbound

This paper cites Oriented reppoints for aerial object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Oriented reppoints for aerial object detection,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.281368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.281368Z digest=sha256:10cedc59219b35de2163a5a162e748f74559a5521e565c6639c3d44e0b1b7b7a

Observation a13b037d-7a96-4e5b-b1ef-bc705dcbace3 · outbound

This paper cites Ars-detr: Aspect ratio- sensitive detection transformer for aerial oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Ars-detr: Aspect ratio- sensitive detection transformer for aerial oriented object detection,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.324189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.285081Z digest=sha256:26414f19e2b788d30ec265d3ced01fa992b6778567b91c627042283633a05e16

Observation 7b5c0e22-0073-49e3-9bfd-c1339395db82 · outbound

This paper cites Probabilistic anchor assignment with iou prediction for object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Probabilistic anchor assignment with iou prediction for object detection,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.312684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.288469Z digest=sha256:5db91f6ed601b8f1bf724d7900a960cb2da8444696a50e1a8e9b3d57447460d6

Observation 93f6e734-2b7f-4c13-b7b8-5794013e926a · outbound

This paper cites Ota: Optimal transport assignment for object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Ota: Optimal transport assignment for object detection,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.301495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.291609Z digest=sha256:c765b9ef71c9f23bf3277ff0a2558f37504463b17f4e25a2cb210e024f1b5009

Observation 2a81a010-08bc-46c5-8d8b-e7b2e4574a94 · outbound

This paper cites Iqdet: Instance-wise quality distribu- tion sampling for object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Iqdet: Instance-wise quality distribu- tion sampling for object detection,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.290265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.295171Z digest=sha256:dafd402c9263b4abea5d8369ea4d46766899c148077f1ff5a69e9b5b39591cbc

Observation 8cce3d1b-937a-41bd-a69e-4692e5897f51 · outbound

This paper cites Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.298125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.298125Z digest=sha256:c6b4df12ec266f3dd18c888dcb9c344f7ba2dc26dda5375bf054ba343e0d446c

Observation f2084f35-491e-42d2-bb85-9002f3579bf8 · outbound

This paper cites Dynamic anchor learning for arbitrary-oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Dynamic anchor learning for arbitrary-oriented object detection,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.272064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.301829Z digest=sha256:c1ec2dae389041bd54b26157d80bd46cdf3916feda5dc4e062a425079db54165

Observation ed476b33-4841-4275-8719-652d65fb6ddf · outbound

This paper cites Shape-adaptive selection and measurement for oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Shape-adaptive selection and measurement for oriented object detection,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.260692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.306176Z digest=sha256:3fbf558846a906fd19a851469243308ab63d9e4eb795ce9d117c455c69b2e26a

Observation bab6f3df-6e8c-4b7b-a92a-5051c9cc51a7 · outbound

This paper cites A general gaussian heatmap label assignment for arbitrary-oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning A general gaussian heatmap label assignment for arbitrary-oriented object detection,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.249018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.310564Z digest=sha256:186388b3aa4e7b7df15d1d5903b2ee8cc390a82a9e18ec94739cf15fb36c5413

Observation b1c6cc0c-a5fb-4d36-b9e4-2d141f94265b · outbound

This paper cites Reppoints: Point set representation for object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Reppoints: Point set representation for object detection,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.314921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.314921Z digest=sha256:f4e9d4b526e6665ff9a8b7c697a8cb24814b18b03b88608325e9445a4d1fef4d

Observation 93bf1bd7-1994-4776-a878-7f04ddeaf99c · outbound

This paper cites Rfla: Gaussian receptive field based label assignment for tiny object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Rfla: Gaussian receptive field based label assignment for tiny object detection,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.230733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.318431Z digest=sha256:dd803752493bd6b9d95c2c9e699afa30e6a238df5a30485560cf1557ebfdc670

Observation c1ded6f9-c38d-4c46-859c-b80634929f0e · outbound

This paper cites Small object detection via coarse-to-fine proposal generation and imitation learning,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Small object detection via coarse-to-fine proposal generation and imitation learning,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.219646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.321642Z digest=sha256:e43d95d94fb1fbabd09de38d51f3966823df2e38ada2a09a437d524e34d622cd

Observation 6f7a5496-b80c-48a5-8888-f20641fbc852 · outbound

This paper cites Perceptual generative adversarial networks for small object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Perceptual generative adversarial networks for small object detection,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.324752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.324752Z digest=sha256:81ee6fed7480bf3b03030a9d08a2e79391990456f069eb7c7b8224eeeb3799c8

Observation dfb7edc6-afcb-4795-8157-54eeda47752e · outbound

This paper cites Sod-mtgan: Small object detection via multi-task generative adversarial network,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Sod-mtgan: Small object detection via multi-task generative adversarial network,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.203095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.329072Z digest=sha256:4e72987895eb6f57822a26ef6b308512ab67c7d1abafcef1f4c3d36a657c6319

Observation d81da86f-4da1-42cb-8bc1-4f6f326eb353 · outbound

This paper cites Better to follow, follow to be better: Towards precise supervision of feature super-resolution for small object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Better to follow, follow to be better: Towards precise supervision of feature super-resolution for small object detection,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.333080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.333080Z digest=sha256:d54b0a86cefca530c42624468cc9b99b17d961df8bf8bf15cf1b1a32331326ff

Observation a73bfc0a-44c9-428c-b013-10a998667a88 · outbound

This paper cites Small object detection in remote sensing images based on super-resolution with auxiliary generative adversarial networks,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Small object detection in remote sensing images based on super-resolution with auxiliary generative adversarial networks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.186911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.336664Z digest=sha256:7116eb102a1e1e86717db9a7a0c58317a97a04902fa313ab7bcaa07c84fe8a2b

Observation 3d542927-2cfe-4921-bc61-a14a20258ede · outbound

This paper cites Small object detection in remote sensing images with residual feature aggregation-based super-resolution and object detector network,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Small object detection in remote sensing images with residual feature aggregation-based super-resolution and object detector network,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.176765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.340336Z digest=sha256:d2ac1532432706bb36b5f2393117d134f1b021a268e87bd4366dfb00b7e014f1

Observation f4dac097-2163-4b21-9ab7-d3663e35b7c5 · outbound

This paper cites Small- object detection in remote sensing images with end-to-end edge- enhanced gan and object detector network,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Small- object detection in remote sensing images with end-to-end edge- enhanced gan and object detector network,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.165816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.344123Z digest=sha256:ed0850adf6632ab5cc51184aa42a04fb19f98b7d5ebdb7023cddacc06b5d923d

Observation 56b0f807-6cbc-495e-9cd5-867dde0dc86d · outbound

This paper cites Dot distance for tiny object detection in aerial images,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Dot distance for tiny object detection in aerial images,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.155172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.347716Z digest=sha256:6423739ad5ac8ab861fa5b52f5558b51a8410279834f4f6fb641eb651170a9d4

Observation d80c1abf-5a98-4fe2-b25c-4c480bc23507 · outbound

This paper cites A Normalized Gaussian Wasserstein Distance for Tiny Object Detection.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.351412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.351412Z digest=sha256:d09b33d9ac669b5fa0c55a3e197374482e95e5ac3013f16a4af1e063fbd3480e

Observation 1777701f-8a16-4608-ba12-a1469bf62020 · outbound

This paper cites Kldet: Detecting tiny objects in remote sensing images via kullback-leibler divergence,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Kldet: Detecting tiny objects in remote sensing images via kullback-leibler divergence,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.143995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.355981Z digest=sha256:7e7218c7b7c904723eeee2702dbb7c86a3cabd3a3d3a8d5e7204012d4b729909

Observation 35e34217-a25b-412d-b6ac-9f80139ea263 · outbound

This paper cites Generalized intersection over union: A metric and a loss for bounding box regression,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Generalized intersection over union: A metric and a loss for bounding box regression,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.132238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.360510Z digest=sha256:174771063e74e72c2cbbd4080322b4092984d112ac9ae28b9878adc3c40df73e

Observation 8898d4dd-c68d-4b05-92f1-0e748acb3f27 · outbound

This paper cites Distance-iou loss: Faster and better learning for bounding box regression,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Distance-iou loss: Faster and better learning for bounding box regression,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.120460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.365052Z digest=sha256:e29c9da8a26ea87e819d40eb06e10b717332e487f7cae321e43631ab78785426

Observation 3069a7af-acf9-4328-8cfb-4f8b0c2fcb82 · outbound

This paper cites Unitbox: An advanced object detection network,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Unitbox: An advanced object detection network,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.109353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.368632Z digest=sha256:52b48abcd1fad6ecb536d7a62ead379145b76a56662d26b2f078ff46f335d6e9

Observation 59896125-d2ae-4f90-8768-2c69bdb50cce · outbound

This paper cites Detecting rotated objects as gaussian distributions and its 3-d generalization,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Detecting rotated objects as gaussian distributions and its 3-d generalization,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.098293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.372929Z digest=sha256:909ea17278b358b51587ffb23ed5bde2433bc34b8b651baef89c392e77c23427

Observation 11cfc324-afaa-4778-9d60-b5b9407cd354 · outbound

This paper cites Phase-shifting coder: Predicting accurate orientation in oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Phase-shifting coder: Predicting accurate orientation in oriented object detection,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.087192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.377264Z digest=sha256:1bd72667f8ff1a8d8ffb1e7bd935f57f040b81f73c9f0c156f28f79045647400

Observation 5f32d931-b775-4624-8b35-a931917e576c · outbound

This paper cites Object detection in optical remote sensing images: A survey and a new benchmark,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Object detection in optical remote sensing images: A survey and a new benchmark,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.075792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.380724Z digest=sha256:7e92f89be34ae29139e17a429160c0e9534a4b9263c384fa78779310801162c9

Observation 221ebf2d-059f-479a-919b-8da77b60d5d9 · outbound

This paper cites Visdrone-det2019: The vision meets drone object detection in image challenge results,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Visdrone-det2019: The vision meets drone object detection in image challenge results,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.064580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.384895Z digest=sha256:20153f819063c32154c47480de9fad7e97643dcf5441e39639b281b0257d5cbd

Observation ee438055-e4d6-42c2-9266-263f1ee2e0b3 · outbound

This paper cites xView: Objects in Context in Overhead Imagery.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning xView: Objects in Context in Overhead Imagery

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.389132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.389132Z digest=sha256:75a38dd2b741a11f8a19d74e18fb979567b17ed9bcc718409bee14997dae6917

Observation 3aaa9c06-671a-43b0-84fc-b549729af10d · outbound

This paper cites H2rbox: Horizontal box annotation is all you need for oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning H2rbox: Horizontal box annotation is all you need for oriented object detection,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.054057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.393545Z digest=sha256:8d519ced6a0fc975abae7117bb01f7b4e5db224c1bef6c83e5851334b4502690

Observation 45202db0-4bce-4d3c-8f26-dbe4f7d63261 · outbound

This paper cites H2rbox- v2: Incorporating symmetry for boosting horizontal box supervised oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning H2rbox- v2: Incorporating symmetry for boosting horizontal box supervised oriented object detection,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.042583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.397205Z digest=sha256:f8162148ed09bdca7de0777466ff263a9e6afe0baaddd3fb41b0db66fbb8f78e

Observation 5ec6c17d-16fa-44e0-97e1-d37526f62056 · outbound

This paper cites Sood: Towards semi-supervised oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Sood: Towards semi-supervised oriented object detection,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.030949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.400326Z digest=sha256:9fb51f4605f21101ed517c07a759d67f06377bbed1d71e3eb50701c26926d5e0

Observation 56348c9d-8fad-41e1-b42d-6d6906586d2f · outbound

This paper cites Focal loss for dense object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Focal loss for dense object detection,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.018323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.404336Z digest=sha256:2e264373b427b531857c2629f04e0cd9d63e5c4b37e459518c62f1ac7864ad04

Observation 43bb5597-3f43-4138-a874-9f688c8e3bb6 · outbound

This paper cites Fcos: A simple and strong anchor-free object detector,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Fcos: A simple and strong anchor-free object detector,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.007185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.408670Z digest=sha256:a1fae3d3432e333607ca82b3cdeb64edaa18e5f1e7fe152473513aedb3808fff

Observation 8b4816bd-d1c8-4915-a403-f83065b5cafe · outbound

This paper cites Faster R-CNN: Towards real- time object detection with region proposal networks,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Faster R-CNN: Towards real- time object detection with region proposal networks,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.996492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.412181Z digest=sha256:1e6b87b10ccc26f15e25c5b10201603acab58eeb2092240ce382cd16dead49cf

Observation 1cf33a38-b6a8-466d-ac3b-cd906c9f09b7 · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Deformable detr: Deformable transformers for end-to-end object detection,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.415771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.415771Z digest=sha256:99360529ad5994b5e2c4f881d3de6eef898333efc9ab409ba2c099db0153a758

Observation deaa3703-df1c-46bf-8180-74bbd2072ea8 · outbound

This paper cites Learning high-precision bounding box for rotated object detection via kullback-leibler divergence,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Learning high-precision bounding box for rotated object detection via kullback-leibler divergence,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.977742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.419954Z digest=sha256:a96f208dc7d8aa5e12857e4facc79b9c4cafffd9d182e29cea041a1b2eacfd28

Observation 6af0ad4a-7543-4321-a4a6-7aa5fc1fa2ad · outbound

This paper cites The kfiou loss for rotated object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning The kfiou loss for rotated object detection,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.960762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.423771Z digest=sha256:09a7b0aa2baa07cd338531253ce1490c5f7ac752bafd3079dca7162db3c5f54a

Observation a11f3374-c082-4f7a-bb68-f7784ec97fc8 · outbound

This paper cites Gliding vertex on the horizontal bounding box for multi-oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Gliding vertex on the horizontal bounding box for multi-oriented object detection,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.943811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.427146Z digest=sha256:87443c248357c38727884c1a7dfeee970ed38eade52ed2a3936e28c49a6dd788

Observation ab201597-84ca-4f08-bf42-b28f8a13acd7 · outbound

This paper cites Beyond bounding- box: Convex-hull feature adaptation for oriented and densely packed object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Beyond bounding- box: Convex-hull feature adaptation for oriented and densely packed object detection,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.926509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.431573Z digest=sha256:3f676ccc22d88389ddb24e942b4eff0f3194c0f1ffe66db34f62ff9783dedf33

Observation dd199e60-61d4-4e6b-9212-1817b182ed9f · outbound

This paper cites Redet: A rotation-equivariant detector for aerial object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Redet: A rotation-equivariant detector for aerial object detection,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.910226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.434554Z digest=sha256:45acc0e43eb416cf87b41b2b70d9458274c3858133102510c5feeec0175aa3e8

Observation 4510535c-2d30-4edc-a10d-bb87e6b48213 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted win- dows,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Swin transformer: Hierarchical vision transformer using shifted win- dows,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.898632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.438818Z digest=sha256:05e7ed9afdd2f838933b03756ff5894755fab9bfbbe48afdfa6f9d5a0d2e384b

Observation 43789b92-da81-4833-8548-d9c68c0f0bf8 · outbound

This paper cites Unbiased teacher for semi- supervised object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Unbiased teacher for semi- supervised object detection,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.886716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.443247Z digest=sha256:f6bcd638aa3fa7b64356156d9600390a6a9d3e8a3345e01d72cfad5878ddb728

Observation 89c37b9e-04fe-457d-bce5-f6f098575c76 · outbound

This paper cites End-to-end semi-supervised object detection with soft teacher,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning End-to-end semi-supervised object detection with soft teacher,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.874181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.447401Z digest=sha256:c2fc6a6dd051b092dcf3fdf31ff711a874145eac3aed6088f5352eace2cb543b

Observation 50e2b4c9-ccc9-4cb4-ae8e-cb222ef10ace · outbound

This paper cites Co-mining: Self-supervised learning for sparsely annotated object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Co-mining: Self-supervised learning for sparsely annotated object detection,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.861359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.451155Z digest=sha256:3ed7fb6d752ce6b40ad317f121765c4b6954481fa4d4b29b16fc1a3c1dd92106

Observation 250d8438-7fbf-4aad-9b0d-2d821b9e0128 · outbound

This paper cites AutoAssign: Differentiable Label Assignment for Dense Object Detection.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning AutoAssign: Differentiable Label Assignment for Dense Object Detection

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.456543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.456543Z digest=sha256:4de46943a464eed3136732e8640db742e5da687b30b03dd35b80650e4faf35f0

Observation 58e1e1c4-577f-44f3-9da3-3282c9e3e249 · outbound

This paper cites Sparse r-cnn: End-to-end object detection with learnable proposals,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Sparse r-cnn: End-to-end object detection with learnable proposals,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.849316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.460570Z digest=sha256:9f9257552dfa6e60444e72cb467f0db6d1847d9b771302169ce18a2112cb119a

Observation 051c2fda-25f4-4026-96fe-491aeda18dc1 · outbound

This paper cites De- formable convolutional networks,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning De- formable convolutional networks,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.836752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.463694Z digest=sha256:330ac0282aa255620ce1f8fecca51eebb49f159e95ad0f4d4c23ae655493d29e

Observation 9a4cd5e1-fa77-4d45-8eb6-78b220eb5743 · outbound

This paper cites End-to-end object detection with transformers,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning End-to-end object detection with transformers,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.825100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.466959Z digest=sha256:7657b1b920d14555bdf200fbb2e1a75187b4da3dad6feacf8ab4dd8d824a75f7

Observation 178b1ce9-3cf2-49a6-a743-8e17347088d6 · outbound

This paper cites Rethink- ing rotated object detection with gaussian wasserstein distance loss,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Rethink- ing rotated object detection with gaussian wasserstein distance loss,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.812858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.470578Z digest=sha256:0b599888072b5585cc418d4e6277eb3540a8169e81d1abf731e18a7837dec8b3

Observation 12c34145-e67f-48d1-bac7-aef6dfc53dd1 · outbound

This paper cites Objectbox: From centers to boxes for anchor-free object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Objectbox: From centers to boxes for anchor-free object detection,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.800570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.474018Z digest=sha256:19f89cf1e78d9617af846048a3fb408f017bcbfdcc4bc3cbdf8ef63d0c862629

Observation 0b521ec3-f045-4f42-bf08-2370505fc944 · outbound

This paper cites Feature selective anchor-free module for single-shot object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Feature selective anchor-free module for single-shot object detection,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.786510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.477749Z digest=sha256:029fb71f9c152bea9b09c26f029b75cec81fdf691bfee8edaf5d3bb3fd3901cb

Observation 68a0199f-c9bb-4be1-93f5-967b5a2b4dc6 · outbound

This paper cites A new metric for probability distributions,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning A new metric for probability distributions,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.773245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.481246Z digest=sha256:01cf6f6b9af44371d25d9f3c967aa272e5558cb2c87324b3d8beb2aeac91946c

Observation 2c9e680f-1749-4d71-9154-f3525ffd3f7e · outbound

This paper cites On a generalization of the jensen–shannon divergence and the jensen–shannon centroid,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning On a generalization of the jensen–shannon divergence and the jensen–shannon centroid,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.761583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.484930Z digest=sha256:c34c14ae6777a0f714c327c84ddf774a7a9700365502cc7d4e22285a7531c514

Observation 6f698b1b-bfd5-4f98-949a-e8131357da16 · outbound

This paper cites Learning center probability map for detecting objects in aerial images,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Learning center probability map for detecting objects in aerial images,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.739234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.488414Z digest=sha256:ea5e589ce48eac1f420f3c99e4713642f683751235f1894eaec8d4cb4e525097

Observation ed756f3b-e111-4de7-9c16-46066730ac09 · outbound

This paper cites Dual-aligned oriented detector,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Dual-aligned oriented detector,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.728969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.491860Z digest=sha256:cb4417c2933c24e1c195cd9b9145d52c0a160ad6dfd30a99f4217aabdb9f13bb

Observation 087882e5-2b0b-4679-91e7-77ab43ce2d71 · outbound

This paper cites Multi-oriented object detection in aerial images with double horizontal rectangles,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Multi-oriented object detection in aerial images with double horizontal rectangles,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.718035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.495297Z digest=sha256:f6ff637ea0ce9771ddcb746059b014807dafc1485777b025999284ab0642a8af

Observation f34b7dbb-6672-4d3b-b602-f51b2193e070 · outbound

This paper cites Mask R-CNN,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Mask R-CNN,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.707258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.499039Z digest=sha256:b9976637bc110a5f60aff6f371cbd705a4fd5885e344c392641101ba9407b40f

Observation be16e227-1943-455d-bc96-eb295135ccc9 · outbound

This paper cites Hybrid task cascade for instance segmentation,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Hybrid task cascade for instance segmentation,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.697067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.502953Z digest=sha256:fdaab87cd25f80db998a0330b8ea90e9f8da016c13b731a06c0a6604ff0f030f

Observation e00cdc41-62ff-4e2f-af52-9f797730d965 · outbound

This paper cites Mmrotate: A rotated object detection benchmark using pytorch,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Mmrotate: A rotated object detection benchmark using pytorch,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.686561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.514128Z digest=sha256:cd04212be3004c426ed1a92c033898cfc674ed67ed1fc8b285603c567f1f2c4d

Observation 4876c025-a7ad-418e-97b4-5f691bff307f · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Pytorch: An imperative style, high-performance deep learning library,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.675024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.517577Z digest=sha256:b366288a7ee99c50594b3f7459377bc9eaf56662b9d9737da75862f07d921a49

Observation 3fa8d709-6672-4acc-aacb-71ed4e98164a · outbound

This paper cites Imagenet large scale visual recognition challenge,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Imagenet large scale visual recognition challenge,

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.521226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.521226Z digest=sha256:c798e9c62dc39cefcf4af47b31a3c8921d8173a10d3f95b9abedea71090b0209

Observation 7b1faeed-a075-4564-b297-ff4bf02243d8 · outbound

This paper cites Deep residual learning for image recognition,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Deep residual learning for image recognition,

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.524698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.524698Z digest=sha256:e2f571e1757ec56e0169481dca1635c58eccac44e658eb21e3a3faec02e54346

Observation 30211c34-d6b4-4618-86df-ebba49b109f3 · outbound

This paper cites Feature pyramid networks for object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Feature pyramid networks for object detection,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.652990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.528389Z digest=sha256:053f854b33836631d0f68b5b419d5d4526bec8fbaf6b5e1e40fa9328a1dd13ec

Observation a32afb68-19d4-4136-a764-93b14ddd1b81 · outbound

This paper cites FCOS: Fully convolutional one- stage object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning FCOS: Fully convolutional one- stage object detection,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.642896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.531822Z digest=sha256:de58a3b71e63b1301675d51ba4cf4f344d92be8f35b972b5955a6f48fe19c19b

Observation adc4bb9d-16d3-466b-93ac-50208821fecc · outbound

This paper cites Deformable convnets v2: More deformable, better results,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Deformable convnets v2: More deformable, better results,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.632511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:54:30.535259Z digest=sha256:56389fb8d43ba670a046cee0fcbc67ca2a916da0d6eca400eb54cd618038c313

Observation caeca492-f0b1-4caa-9ce8-bbfaccbd8f0b · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.510596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.510596Z digest=sha256:1e417d6425bc865382ac5299a599160c965f0fd84479a28c54a9ef5ffae53a2a

Pith citing papers

No inbound Pith citation observations are available.