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Paper Citation Record · LEDGER

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV

As of 18 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 3 inbound Pith citation observations for arXiv:2504.20032.

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

pith.paper-citation-record.v1
2504.20032 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:41:54.399550Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:04:09.377184Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:23:37.123857Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact5
  • verified fuzzy19
  • unresolved29
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 705a2a00-811e-40ee-8331-0385a6a73d3b · outbound

This paper cites MACA: A relative radiometric correction method for multiflight unmanned aerial vehicle images based on concurrent satellite imagery,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV MACA: A relative radiometric correction method for multiflight unmanned aerial vehicle images based on concurrent satellite imagery,

Reference 1

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Observation 4e7f289d-3b64-44dc-a581-0c73fa405e1d · outbound

This paper cites Quantify wheat canopy leaf angle distribution using terrestrial laser scanning data,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Quantify wheat canopy leaf angle distribution using terrestrial laser scanning data,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1e6cefae-2cba-4bd3-8c4b-95a50fe15349 · outbound

This paper cites Investigation into uav applications for environmental ice detection and de-icing technology,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Investigation into uav applications for environmental ice detection and de-icing technology,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c65b35d0-c5d7-4962-81e7-ba36c6dd0773 · outbound

This paper cites A survey on uav applications in smart city management: Challenges, advances, and opportunities,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV A survey on uav applications in smart city management: Challenges, advances, and opportunities,

Reference 4

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raw_fallback, observed 2026-08-16T05:41:56.228659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 28936ac1-1e80-438f-8ab9-6ecd8cdd9a46 · outbound

This paper cites Certifying emergency landing for safe urban uav,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Certifying emergency landing for safe urban uav,

Reference 5

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raw_fallback, observed 2026-08-16T05:41:56.218761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.194820Z digest=sha256:0fc90f4d4f84e838f9261d5b59ed9a99d967f7419f72c1e2a5d4e9b00368c09b

Observation df8e6714-ba5d-4d73-a0ea-2a96f665a36f · outbound

This paper cites Point2rbox: Combine knowledge from synthetic visual patterns for end-to-end oriented object detection with single point supervision,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Point2rbox: Combine knowledge from synthetic visual patterns for end-to-end oriented object detection with single point supervision,

Reference 7

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Observation bce2f1ce-dd70-4a42-99a3-abe47b53bc78 · outbound

This paper cites SOOD: towards semi-supervised oriented object detection,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV SOOD: towards semi-supervised oriented object detection,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8fce7c45-f53d-4560-8795-50412c064b2f · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Towards large-scale small object detection: Survey and benchmarks,

Reference 10

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no resolver link, observed 2026-08-16T05:41:54.213401Z

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source=pdf_text observed=2026-08-16T05:41:54.213401Z digest=sha256:2b37d98bf99f8fa3d2579dda748363f9450e25d5d761d184a93259acd16091ea

Observation 859b7286-bd9a-4ae8-80ba-5b285591d231 · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV DOTA: A large-scale dataset for object detection in aerial images,

Reference 11

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raw_fallback, observed 2026-08-16T05:41:56.208247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 33bc63d2-75c0-43bd-9ec8-f4de08b706fe · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Anchor-free oriented proposal generator for object detection,

Reference 12

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Observation 3af64c70-2081-4b66-94d5-af6e7cb3af4a · outbound

This paper cites A high resolution optical satellite image dataset for ship recognition and some new baselines,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV A high resolution optical satellite image dataset for ship recognition and some new baselines,

Reference 13

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doi, observed 2026-08-16T05:41:54.513049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5e7146ed-7db3-4ce7-b76a-cf91a5e11c3f · outbound

This paper cites FGSD: A Dataset for Fine-Grained Ship Detection in High Resolution Satellite Images.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV FGSD: A Dataset for Fine-Grained Ship Detection in High Resolution Satellite Images

Reference 14

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source=pdf_text observed=2026-08-16T05:41:54.227270Z digest=sha256:eafae80073e6a6c883e54715e796b5550fa4a2f0334d4e543fcd133e509d7b6a

Observation abedef89-13bc-414e-b796-4ae706c85c25 · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Vehicle detection in aerial imagery : A small target detection benchmark,

Reference 15

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Observation 2d7fd8d5-1f65-4065-b807-75792d8de6fa · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Orientation robust object detection in aerial images using deep convolutional neural network,

Reference 16

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Observation 374cc4b3-9714-4cc9-80f7-acc8891d22e1 · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Visdrone-det2019: The vision meets drone object detection in image challenge results,

Reference 17

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Observation f6a1a3f8-71d4-4c10-81bc-98c848644609 · outbound

This paper cites AU-AIR: A multi-modal unmanned aerial vehicle dataset for low altitude traffic surveillance,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV AU-AIR: A multi-modal unmanned aerial vehicle dataset for low altitude traffic surveillance,

Reference 18

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Observation a59f842c-767d-402f-b631-02e670b4fb85 · outbound

This paper cites The unmanned aerial vehicle benchmark: Object detection and tracking,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV The unmanned aerial vehicle benchmark: Object detection and tracking,

Reference 19

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Observation c5e414fa-a70b-4e42-bd48-73436e4b2ca8 · outbound

This paper cites Drone-based object counting by spatially regularized regional proposal network,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Drone-based object counting by spatially regularized regional proposal network,

Reference 20

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verified exact
doi, observed 2026-08-16T05:41:54.485906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.248973Z digest=sha256:1baaeddcb99f3c00691903b4c170c77a580d817b80c3686e1d3c86f78f4db3dd

Observation f03f6385-1c65-4856-8706-5a2be0a962b3 · outbound

This paper cites Drone-based rgb-infrared cross- modality vehicle detection via uncertainty-aware learning,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Drone-based rgb-infrared cross- modality vehicle detection via uncertainty-aware learning,

Reference 21

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Observation 4f7653f2-cbe5-4aa2-8be7-38b408f06d45 · outbound

This paper cites Ts 4net: Two-stage sample selective strategy for rotating object detection,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Ts 4net: Two-stage sample selective strategy for rotating object detection,

Reference 22

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Observation 399ad1cf-4c6f-4c0b-803a-b605a23a156a · outbound

This paper cites Multisized object detection using spaceborne optical imagery,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Multisized object detection using spaceborne optical imagery,

Reference 23

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Observation 0806a3c6-fd72-41e9-8ddc-036df16d8211 · outbound

This paper cites A large contextual dataset for classification, detection and counting of cars with deep learning,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV A large contextual dataset for classification, detection and counting of cars with deep learning,

Reference 24

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Observation 36da4bd5-c70c-43e5-b899-4c40bb24e481 · outbound

This paper cites Learning rotation-invariant and fisher discriminative convolutional neural networks for object detection,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Learning rotation-invariant and fisher discriminative convolutional neural networks for object detection,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 86606d46-67d8-44a5-b835-5f6dadb85a00 · outbound

This paper cites Elliptic fourier transformation- based histograms of oriented gradients for rotationally invariant object detection in remote-sensing images,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Elliptic fourier transformation- based histograms of oriented gradients for rotationally invariant object detection in remote-sensing images,

Reference 26

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raw_fallback, observed 2026-08-16T05:41:56.187473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6e930f1e-ad65-4a18-9983-081c0af2e0d1 · outbound

This paper cites Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark

Reference 27

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local_arxiv, observed 2026-08-16T05:41:55.274161Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 80019f39-27f7-4e45-a9c8-3149e49f271a · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV xView: Objects in Context in Overhead Imagery

Reference 28

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Observation 7a7287e9-dabc-4e70-95e2-fba28aac81a1 · outbound

This paper cites Hierarchical and robust convolutional neural network for very high-resolution remote sensing object detection,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Hierarchical and robust convolutional neural network for very high-resolution remote sensing object detection,

Reference 29

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Observation 0d666111-52c1-48bb-8aee-059bfa25722e · outbound

This paper cites Random access memories: A new paradigm for target detection in high resolution aerial remote sensing images,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Random access memories: A new paradigm for target detection in high resolution aerial remote sensing images,

Reference 30

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Observation 75d08b13-0bef-45a4-9b7b-7cd51a406094 · outbound

This paper cites EAGLE: large-scale vehicle detection dataset in real-world scenarios using aerial imagery,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV EAGLE: large-scale vehicle detection dataset in real-world scenarios using aerial imagery,

Reference 33

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no resolver link, observed 2026-08-16T05:41:54.302377Z

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Observation 9f370a2f-2a66-4d2e-82af-9fcd69c019a9 · outbound

This paper cites HazyDet: Open-Source Benchmark for Drone-View Object Detection with Depth-Cues in Hazy Scenes.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV HazyDet: Open-Source Benchmark for Drone-View Object Detection with Depth-Cues in Hazy Scenes

Reference 34

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Observation fb3231f6-3a2a-4cf1-91ff-ec00e725e924 · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Learning high-precision bounding box for rotated object detection via kullback-leibler divergence,

Reference 35

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raw_fallback, observed 2026-08-16T05:41:56.176956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.309472Z digest=sha256:8fb96769de65fb70269f2d44c29232c5ebbfac4485e62c56f1d5ded3e8dd6f83

Observation 011584bf-9d27-452b-9639-b78bfec49f1b · outbound

This paper cites ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection

Reference 36

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Observation 4185bc19-9b5e-4504-8cb6-d700fa50e3fa · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Faster R-CNN: towards real-time object detection with region proposal networks,

Reference 37

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Observation f4d49c4f-f0ab-4763-8d97-7c2afe728c9a · outbound

This paper cites Focal loss for dense object detection,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Focal loss for dense object detection,

Reference 38

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source=pdf_text observed=2026-08-16T05:41:54.320328Z digest=sha256:ad5b653b51c97b4e8ed029b40edd3c374d3003b5d32846863d8e262d75336722

Observation 1da3ea7c-3796-4228-bf2a-10dd8625b74d · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Reppoints: Point set representation for object detection,

Reference 39

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raw_fallback, observed 2026-08-16T05:41:55.013606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.323920Z digest=sha256:bdda73166884ec58b6ee1512e6f68060b8ecd6939be655d5199e8d29193fc4f1

Observation a7e278d4-f183-4d1e-a99c-83edff8a9013 · outbound

This paper cites Learning roi transformer for oriented object detection in aerial images,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Learning roi transformer for oriented object detection in aerial images,

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-16T05:41:56.167249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.327339Z digest=sha256:1192a980249afae493827ac6be3aa6f9082500d0165b2385e5a3542e2f1f8b18

Observation 5843ccaa-5a0a-42a5-bf1b-1fd84ee91d17 · outbound

This paper cites Arbitrary-oriented object detection with circular smooth label,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Arbitrary-oriented object detection with circular smooth label,

Reference 41

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unresolved
no resolver link, observed 2026-08-16T05:41:54.330636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:41:54.330636Z digest=sha256:33554f1a2a20694d445502b32592a0fa86dcbd23dd9f6d3fd077bdae6dff8e37

Observation af290c40-c8ad-493c-bc6d-478401f33019 · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection,

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-16T05:41:56.157338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.334031Z digest=sha256:390012ba49499e96021ebb06606849559a80ace83845e50c1a0273b7f9bb302c

Observation cd55d9f9-b704-4626-87a2-edf9eae5df40 · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Gliding vertex on the horizontal bounding box for multi-oriented object detection,

Reference 43

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unresolved
no resolver link, observed 2026-08-16T05:41:54.340620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:41:54.340620Z digest=sha256:4c2539979dff88bb541a6549cec2f07d39df56aec421dc065e5745a79c357e16

Observation 4bf8f526-83cb-4be3-8320-38fe5509a90c · outbound

This paper cites Oriented R-CNN for object detection,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Oriented R-CNN for object detection,

Reference 44

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unresolved
no resolver link, observed 2026-08-16T05:41:54.343794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:41:54.343794Z digest=sha256:49da6797b77c08c94f83882776c95e53097c6f9f735b0423430103af0f325ce0

Observation 22bd9225-96e7-4bc3-a234-6a6881b8d49e · outbound

This paper cites Rethinking rotated object detection with gaussian wasserstein distance loss,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Rethinking rotated object detection with gaussian wasserstein distance loss,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:41:56.137017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.347277Z digest=sha256:def5cd27cbdc86c31bdf64f34d215bf39d3cffdc9fee2b8c6900db11c5f683e5

Observation 75ba82ad-eda6-45e1-a880-8969276f9ec5 · outbound

This paper cites Align deep features for oriented object detection,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Align deep features for oriented object detection,

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-16T05:41:56.126555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.350795Z digest=sha256:c0a32d8024b1ce2b38df6435aa15dc3e7732803c2d937847576792b40bec8734

Observation 2843fbdf-306f-46e0-86a2-7b71ecc86356 · outbound

This paper cites R3det: Refined single-stage detector with feature refinement for rotating object,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV R3det: Refined single-stage detector with feature refinement for rotating object,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:41:56.116329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.357896Z digest=sha256:e3578f89bed0cb7de10c6bdef89e6e0b7b455158b2fe5e574ee8197e24f189ed

Observation 5b19c389-9c71-42ce-8b57-aee153cd32a3 · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Redet: A rotation-equivariant detector for aerial object detection,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:41:56.105217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.364532Z digest=sha256:7dad4c235c3a7ff98787bdf88a9b2816dfcc04fac8bf6919b0bf303ac4d2b54a

Observation f9ab35bc-321e-424b-8805-c56cf1924627 · outbound

This paper cites Oriented reppoints for aerial object detection,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Oriented reppoints for aerial object detection,

Reference 49

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unresolved
no resolver link, observed 2026-08-16T05:41:54.368054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:41:54.368054Z digest=sha256:7df474a6aa6c6a49d13e5db7c17766785639a5bc48ca5253ab33cebab06beb5f

Observation 344f929c-4d4f-4273-b69e-97249a68e39f · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV The kfiou loss for rotated object detection,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:41:56.092744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.371198Z digest=sha256:d5266d5a939a293b50f71ebda61a13671e905961346fbd389e41392a4bfb49d5

Observation 8f2008c5-351b-4010-8210-65ef71f36c42 · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV H2rbox: Horizontal box annotation is all you need for oriented object detection,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:41:56.081736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.374569Z digest=sha256:dafaf613f5cc761877ba69ad896720c08b0ba14baf2c4ef5b952e5c785111965

Observation 69c3ee7a-c096-45c5-b57f-8965a63b7437 · outbound

This paper cites 3163–3171.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV 3163–3171

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T05:41:54.361221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:41:54.361221Z digest=sha256:99eda4e90201d70943338f3ead88d5dc441bb761525c5785fc0fd6194ce8f1ec

Observation cbe00866-ddbc-476e-a765-7449e9f74840 · outbound

This paper cites Large selective kernel network for remote sensing object detection,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Large selective kernel network for remote sensing object detection,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T05:41:54.381844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:41:54.381844Z digest=sha256:6b4b06f4d7f9692c89d20517833956fe895f02200a643f80d477e7de74ff64ec

Observation 239ed635-e1df-41f7-a3a5-cc6eb9a576fd · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV H2rbox-v2: Incorporating symmetry for boosting horizontal box supervised oriented object detection,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:41:56.070908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.385341Z digest=sha256:57c9482b9430ce77215c1729919eef8319b0d0df4acc341a1fcc0f1304e0eb24

Observation 7e336ab3-5482-4385-b07e-6452d799dd1f · outbound

This paper cites Orientedformer: An end-to-end transformer-based oriented object detector in remote sensing images,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Orientedformer: An end-to-end transformer-based oriented object detector in remote sensing images,

Reference 55

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no resolver link, observed 2026-08-16T05:41:54.392414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:41:54.392414Z digest=sha256:fe3256095ea429259a3ce524f8e33630d27702f374a2580b04e8396c30974351

Observation 0effffcc-752c-4768-9718-cae5bb243b7d · outbound

This paper cites Decouplenet: A lightweight backbone network with efficient feature decoupling for remote sensing visual tasks,.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Decouplenet: A lightweight backbone network with efficient feature decoupling for remote sensing visual tasks,

Reference 56

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malformed identifier
no resolver link, observed 2026-08-16T05:41:54.395771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:41:54.395771Z digest=sha256:5d265d345068c7e55f17cca5f1871c94b80e3978dd6d08f6aa24ef9266c570d7

Observation fff9a953-d1f2-4a5c-96be-d58b9c59513f · outbound

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

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Dynamic coarse-to-fine learning for oriented tiny object detection,

Reference 57

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unresolved
no resolver link, observed 2026-08-16T05:41:54.378315Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T05:41:54.378315Z digest=sha256:6af37487330a2d68527c6a608209c60d14ea213a9a728866565d5aeb1a374838

Observation ca1b7ab6-8ff7-4375-9c2c-3e1d132e0179 · outbound

This paper cites He has served as the Area Chair for top-tier conferences, such as CVPR and ACM Multimedia.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV He has served as the Area Chair for top-tier conferences, such as CVPR and ACM Multimedia

Reference 2011

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verified fuzzy
raw_fallback, observed 2026-08-16T05:41:56.049310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.399550Z digest=sha256:9d5347fccf6532c4d5a0a1f86656d0341d4dc5ebd471914bcb5173683a692d94

Observation 041a68a2-d8bf-4e3f-a2b8-61d6e5b7a0ab · outbound

This paper cites Available: https://doi.org/10.1109/TIP.2018.2867198.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Available: https://doi.org/10.1109/TIP.2018.2867198

Reference 2019

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:41:54.269514Z digest=sha256:f4dae0dc7aceda245b0d4aae311ea04acef4c695f08558589e3353c258fc0fb1

Observation 7d372b89-134f-45ca-a7cd-f5735a86fafd · outbound

This paper cites 9756–9765.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV 9756–9765

Reference 2020

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verified fuzzy
raw_fallback, observed 2026-08-16T05:41:56.147173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.337232Z digest=sha256:3c058370a87a2a05b7b3c9266fc91fe2e5aeb4e5cc8e0563ed334520b7e8bb61

Observation 87892529-d8d4-4a36-b996-bf16a283ecf8 · outbound

This paper cites FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery

Reference 2021

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metadata mismatch
local_arxiv, observed 2026-08-16T05:41:55.086900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.298999Z digest=sha256:695ea65674627b0b3525dfd7ba8fed2b7a96317fcf6d50994c01c3026e0f45da

Observation 1e09aab7-a446-4886-a379-4f926adc0f8c · outbound

This paper cites Available: https://doi.org/10.1109/TGRS.2021.3062048.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Available: https://doi.org/10.1109/TGRS.2021.3062048

Reference 2022

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no resolver link, observed 2026-08-16T05:41:54.354424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:41:54.354424Z digest=sha256:732bf62435ccb0491705c63dc407648ba404acc99a7c8f68589e72b399c65f4b

Observation 5ca8cc92-d3af-44bd-9e14-2b97f9da708f · outbound

This paper cites Available: http://papers.nips.cc/paper files/paper/2023/ hash/b9603de9e49d0838e53b6c9cf9d06556-Abstract-Conference.html.

More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV Available: http://papers.nips.cc/paper files/paper/2023/ hash/b9603de9e49d0838e53b6c9cf9d06556-Abstract-Conference.html

Reference 2023

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verified fuzzy
raw_fallback, observed 2026-08-16T05:41:56.059957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:41:54.388825Z digest=sha256:d260a3f2deb2e12ff59654f5d89eb418792ee09fa7b7aee2f742b72bb2dfe113

Pith citing papers

Observation 3711df7b-1282-4a29-9a94-d3758d26d521 · inbound

EFSI-DETR: Efficient Frequency-Semantic Integration for Real-Time Small Object Detection in UAV Imagery cites this paper.

EFSI-DETR: Efficient Frequency-Semantic Integration for Real-Time Small Object Detection in UAV Imagery More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV

Reference 50

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unresolved
no resolver link, observed 2026-08-03T08:04:09.377184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:04:09.377184Z digest=sha256:c5f4bcfa87f81c7c1665d39292931e994469c2029fbfd3fd12d525fb7b56fa0b

Observation 845016d3-8b4e-48c0-858d-4f18a3584218 · inbound

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation cites this paper.

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:23:37.125517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T09:20:54.635375Z digest=sha256:89e5c64b8970082e1c2d1bb682559c45e96f5c92a16fc8b37c7ee6522fd0cddc

Observation a68f0925-cee3-489b-8408-1f03c37be227 · inbound

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation cites this paper.

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV

Reference 56

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unresolved
no resolver link, observed 2026-08-02T16:10:02.919136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:10:02.919136Z digest=sha256:e4b0a935a1c8c2a3d558fec96289443a58b86844d05f2b5eaccaf932d7d5d1af