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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Source-reported events for the cited work

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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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

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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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

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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

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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Unavailable: canonical work link unavailable.

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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

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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 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.288469Z digest=sha256:382a487e420fdd3a15e84bf1e1cbac9472e6c200a15ce64f1a77c95145b015e2

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.291609Z digest=sha256:15878de4648f853922b8d61c8a8d1489d5e7c4a0e9af132a717339552201dd68

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.295171Z digest=sha256:3e94e56c538a3647c1baa6b701624a4d93551387b705d5750b189635273e0cb4

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.301829Z digest=sha256:a321e133a6ca602c5842b38e9b4c673df56063ee2c923d41af66b3b01733e076

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.306176Z digest=sha256:74c61a4d5a02014078011a50f9067d744ebbe036af4b8b31df4388450456a7b0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.310564Z digest=sha256:e703826550f020060ab1fe51ee04601d10eced574ba27193f5d567b4b04853ab

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.318431Z digest=sha256:caba00fef2fe6cac5b5e3ea7ebffa6b3f87456872fa3711ec8033b5a257521f9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.321642Z digest=sha256:d924387139d175d0285a641b31a78ea5421fda696212efc5d5f707606f9750f3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.329072Z digest=sha256:4ad502d82c90d52da982f12c0c0209a64cb245b78ea74de555977cdc569dd59c

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.336664Z digest=sha256:2218439f0b8333f00dc60ea38d185d6c4f0b77c4ba78a0040598b87576781a8e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.340336Z digest=sha256:eaa0bc0dc6db12d588b42b7268430ba66d1f5598b4f8bc4fe5780c34dd12dc4b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.344123Z digest=sha256:1ad878c6ac5712e8bcb691eaf0497491d98df1fafedd235115d0f3da6df3b42e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.347716Z digest=sha256:f2e95122b5fd4b93927657de490afec5f7dce4c3403d68f9f007f7a93d95d9b8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.355981Z digest=sha256:f133a8489c1aeafa87bf13155dfba570f8398a50e9f174da205e1f62f55b7dc5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.360510Z digest=sha256:9d230e98ba396abe3acfec71e4f7017ea9c505f0d0309c39918581ed5a4d5a55

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.365052Z digest=sha256:aada8bfdd8520877ccfce61b3a491e4e5d54a36e478f3a285a5b90b511256515

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.368632Z digest=sha256:acc8d99065ec460c78846af3d1e4b2acf3aee2af60343b6fd4daaeca06963e3f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.372929Z digest=sha256:798b2f3690782ffe17f20e6d4645dc4c3c90bfaba41b36fa05b2143769d4fafe

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.377264Z digest=sha256:248bbba750bddf0dc75fa69c8da066b1cc8a2b11c834f60f9f53b4024284a336

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.380724Z digest=sha256:50eef4bbad15837df2bda22ac930c58ad1c333cd21f6370cb50f08f1cff45c2f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.384895Z digest=sha256:5ac06d93c8ecaaa88a536e8c4b333a0b0784d933593127a16c3fd11486e65976

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.393545Z digest=sha256:1e8ec0c5fad1080e434edcf0e0e3877940c91e7748990f3b0f15c69970b96c8d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.397205Z digest=sha256:547bcee17ff31f101b18dbaec6cf8ec72ef88f61681adaa221c8174aa0c15b1b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.400326Z digest=sha256:539827c6f0fe91717c786747041904651aca6e1e5f8d71ff4eb3581a108fb3b3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.404336Z digest=sha256:0ea4d96ecfef7bb8ae81b24e9c6204f0ff4b78ac21eec509371396537c6ae24d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.408670Z digest=sha256:47d0d35e4c57cc4726ed81f558a6ffdf2213866e84c53eeaa54b7f0e446b9a9d

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.412181Z digest=sha256:a934a8082b8b7042a1793b48f320b02463f46eca574fb3fd24264583bf00f7cd

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.419954Z digest=sha256:9c70d0d8768fdf3e5bdf2a171801028c594c3ece957d34b109e1f03adbc33d8e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.423771Z digest=sha256:1e9d88360403ccd686507bc6d5edc2a4994cf0a9a395a6faf5f7111a3d5730c6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.427146Z digest=sha256:a357be1218d053edf5e30559d7f8b43915080ca4c81588af1ead4e57429775a1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.431573Z digest=sha256:d0a1f76680eb2e6e446a552242a3a05d5900cd14ce052318e3ba44d537640aae

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.434554Z digest=sha256:8cf6e857f1ef93e04a9335230d0e9d0c89a76f2de427269770553f41db9e62f3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.438818Z digest=sha256:a7b104af3ffe14e4bd2a75ef9f8b2b8757e3e72a01cf2c6ad7dda24c8c591d94

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.443247Z digest=sha256:d6f102d20346ab6767b7cd58c86a5d133f8e85f67ff620f4b04eb47a7e0a6851

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.447401Z digest=sha256:11f0c6e99295af801b27ca5e02d1599da22a33c7730ac327ab60a4fbfa3f94b7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.451155Z digest=sha256:4c8f69eca6718e4f17ad0b6304e787feaa8f8d25912ac668aac8a087331c5644

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.460570Z digest=sha256:b66d97132c9afa648a979636ec4bafef6c6e88c6cb15f38c060026e018b6e2fc

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.463694Z digest=sha256:e213f5e8f35184b72307046c9e6d788316341318282d93f279532d0b69a99296

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.466959Z digest=sha256:30075406c94ac3df8bf8fe50f5695d1f9545250cbc28173e9773244f0cfd1b2e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.470578Z digest=sha256:ed667d791cf3ce1b35039afbe0854c4c7a651dca09ff74f550aca2884edea15b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.474018Z digest=sha256:028fae668091c80a61272534633591f0ab88096e60405f7dab2776e979383b85

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.477749Z digest=sha256:ebb9ffb1bfeb3b6d30993c3477db305dfe094ea27653b70af72e2e149213b517

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.481246Z digest=sha256:633629d0dcfd3cd4f02cd5207d199f5b41c2a1e6e7fd014275e3490e3c28ed1c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.484930Z digest=sha256:7c383fab3e50b860b576275f33c95a29237e4a7386f4630ae6f19117089368fa

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.488414Z digest=sha256:3674d13ca5407b0f2102e5d6971c992d5e014447349bf35f84c94b64fb4c67c0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.491860Z digest=sha256:d8c76a509fa98364872f72ccdc9967ef83b216e5c429f6e265aa1bf6200c54f0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.495297Z digest=sha256:58e4074af3949d18364a9d1a6548bd886fb04ebe5eeb8bc2bc1ebe62c3ec8a37

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.499039Z digest=sha256:a7d021a060b70dfe9f5e70b0e5b0249357d80ea761fbd23614f2af5221c1f64f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.502953Z digest=sha256:e7f69a009eafa4ca75807312210b11a81fc2d9853d2231a8a8cca794c5738697

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.514128Z digest=sha256:99d06bbf805b7c7fd81a8d8af936e3731c9de2a0eba76059908fefced6d7ef1d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.517577Z digest=sha256:8e814ae63bb5923d7077541a364d9f7b12c2c1054aba154c4e538fb47e928b07

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.528389Z digest=sha256:bec1685c0a415fed19bdffe9a39613e810bec35e3432ad29150a2570eb28b7b5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.531822Z digest=sha256:ea436cfa310b18b99bfc3f82f3f02de8d5efead43be69ffc4627e2a4c19383aa

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:54:30.535259Z digest=sha256:a73a9b524cb724d4abc2db4bd93e8db6d39b74b2c9c44d9493ffce60e345716b

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.