Measuring the Impact of Rotation Equivariance on Aerial Object Detection | Paper Citation Record

Observation 6341040b-fb48-4711-8c51-96b6bd9c9c4f · outbound

This paper cites Poly kernel inception network for remote sensing detection.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Poly kernel inception network for remote sensing detection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.613422Z

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Observation e0f63627-f5c7-4831-84c2-8d22550cf933 · outbound

This paper cites Hybrid task cascade for instance seg- mentation.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Hybrid task cascade for instance seg- mentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.605938Z

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Observation aa3e2378-6e88-45d4-a1f9-c0f48923d581 · outbound

This paper cites A survey on object detec- tion in optical remote sensing images.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection A survey on object detec- tion in optical remote sensing images

Reference 3

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Observation beedbf89-a75a-4056-9e06-6a0b9222d5b2 · outbound

This paper cites Learning rotation-invariant convolutional neural networks for object detection in vhr optical remote sensing images.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Learning rotation-invariant convolutional neural networks for object detection in vhr optical remote sensing images

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.593853Z

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Observation 47d43102-5397-4b88-b73f-051d637be9cf · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Anchor-free oriented proposal generator for object detection

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.586883Z

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Observation 7900ee3f-d661-4ca8-8268-1cc0ca8fe5e4 · outbound

This paper cites Dual- aligned oriented detector.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Dual- aligned oriented detector

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.579698Z

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Observation 9d4ee65a-7420-4a7b-982d-e334e7b317a7 · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Towards large-scale small object detection: Survey and benchmarks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.571992Z

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Observation 929127ff-8e48-45ff-a150-7667c14028af · outbound

This paper cites Group equivariant convolu- tional networks.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Group equivariant convolu- tional networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.565021Z

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Observation 48e59b82-e476-42f7-a1ac-9f1523a05f28 · outbound

This paper cites Steerable cnns.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Steerable cnns

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.558132Z

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Observation 196df7fa-169a-48a7-b0a4-efa4522284f4 · outbound

This paper cites Spherical cnns.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Spherical cnns

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.551170Z

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Observation 7a3fc256-abb6-4b23-be25-4274157f518f · outbound

This paper cites MMYOLO: OpenMMLab YOLO series toolbox and benchmark.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection MMYOLO: OpenMMLab YOLO series toolbox and benchmark

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.544425Z

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Observation f47c4a59-a725-4ad6-ba51-3d08cc8cbd3b · outbound

This paper cites Ao2-detr: Arbitrary-oriented object detection trans- former.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Ao2-detr: Arbitrary-oriented object detection trans- former

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.537487Z

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Observation fa7d2599-8d04-4132-b12f-a02e7704f29b · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Imagenet: A large-scale hierarchical image database

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.530556Z

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Observation 9374352c-9811-46b9-b760-d3a26b76bb07 · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Learning roi transformer for oriented object detection in aerial images

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.523621Z

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Observation ae3cd503-1327-4c3b-ad87-d566a1871cc2 · outbound

This paper cites Object de- tection in aerial images: A large-scale benchmark and chal- lenges.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Object de- tection in aerial images: A large-scale benchmark and chal- lenges

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.516670Z

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Observation 9cd950c1-10e6-4aaf-8c51-f4269e19f6a6 · outbound

This paper cites van Gemert.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection van Gemert

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.509452Z

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Observation 2c0ced81-0639-4010-8822-4414ac28197e · outbound

This paper cites Point- based estimator for arbitrary-oriented object detection in aerial images.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Point- based estimator for arbitrary-oriented object detection in aerial images

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.502631Z

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Observation 55c8f7fc-fb89-44ea-a23c-b0f1aae53d62 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.495135Z

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Observation bd45b8fe-58bb-4b27-8a81-feb373841186 · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Beyond bounding-box: Convex- hull feature adaptation for oriented and densely packed ob- ject detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.487927Z

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Observation cd0f5cd8-3d3e-4479-a0c9-65e8e0dc0cb4 · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Redet: A rotation-equivariant detector for aerial object detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.480185Z

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Observation e6eb88a9-822d-42b0-8480-52d81700f962 · outbound

This paper cites Align deep features for oriented object detection.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Align deep features for oriented object detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.473160Z

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Observation a1a7e939-a44b-4460-a683-5afd48e754f9 · outbound

This paper cites Mask r-cnn.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Mask r-cnn

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.466162Z

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Observation f15ee604-a8a6-4695-a1ef-d682b8e613a3 · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Shape-adaptive selection and measurement for oriented object detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.458743Z

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Observation 6345f799-9394-474f-b46e-4a9af64e441b · outbound

This paper cites G- rep: Gaussian representation for arbitrary-oriented object de- tection.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection G- rep: Gaussian representation for arbitrary-oriented object de- tection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.451637Z

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Observation 1de80d4a-e5a6-451d-abd8-1269ad3de97f · outbound

This paper cites Squeeze-and-excitation net- works.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Squeeze-and-excitation net- works

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.444751Z

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Observation b9641100-06c7-4bd7-8dd2-13f1fb6e48b8 · outbound

This paper cites Fred: Towards a full rotation-equivariance in aerial image object detection.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Fred: Towards a full rotation-equivariance in aerial image object detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.437689Z

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Observation eac5614e-fa84-4859-a2dc-280bb2c3aef5 · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Object detection in optical remote sensing images: A survey and a new benchmark

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.430556Z

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Observation 4e1a1492-c81e-4cac-8dfa-c28bf1565155 · outbound

This paper cites Ori- ented reppoints for aerial object detection.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Ori- ented reppoints for aerial object detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.423547Z

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Observation 716d05a7-4e73-4c89-a6ca-3f06deb835ba · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Large selective kernel network for remote sensing object detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.416750Z

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Observation 54f78098-44f1-4eb8-bd5f-5c724eeed200 · outbound

This paper cites Feature pyramid networks for object detection.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Feature pyramid networks for object detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.409415Z

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Observation d6ada6e4-3fa6-4878-b16c-8e669536b0a5 · outbound

This paper cites Focal loss for dense object detection.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Focal loss for dense object detection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.343189Z

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Observation ffa2fca9-b345-429e-bd5f-0a07a7bcce3b · outbound

This paper cites Path aggregation network for instance segmentation.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Path aggregation network for instance segmentation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.336135Z

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Observation 64ebc4d9-6056-49ea-a842-636efaaa7f5a · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection A high resolution optical satellite image dataset for ship recognition and some new baselines

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.328905Z

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Observation c7f93875-8b97-4817-b1ba-ce3b5b5ef938 · outbound

This paper cites Decoupled Weight Decay Regularization.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Decoupled Weight Decay Regularization

Reference 34

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Observation 1e875cbd-da1a-4b87-b55e-cea9f4ba1c48 · outbound

This paper cites RTMDet: An Empirical Study of Designing Real-Time Object Detectors.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T17:50:10.950390Z

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Observation e742ff08-ee57-44a5-8e70-594f7732597e · outbound

This paper cites A Data and Compute Efficient Design for Limited-Resources Deep Learning.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection A Data and Compute Efficient Design for Limited-Resources Deep Learning

Reference 36

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Observation bb1bd8ae-d6d2-4fc3-ba47-fc1f5164c42b · outbound

This paper cites Dynamic refinement network for oriented and densely packed object detection.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Dynamic refinement network for oriented and densely packed object detection

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.321410Z

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Observation d2604d4e-b2dd-4cb3-80ef-e1c70a1622de · outbound

This paper cites Adaptive rotated convolution for rotated object de- tection.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Adaptive rotated convolution for rotated object de- tection

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.314369Z

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Observation c4c4e558-ee26-4024-a15f-fc73aa063d4a · outbound

This paper cites You only look once: Unified, real-time object de- tection.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection You only look once: Unified, real-time object de- tection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.306472Z

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Observation a011573c-655d-48a0-8135-2f814c81f90f · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.299065Z

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Observation d249634d-c4b8-4d33-8b42-ae109dd221ba · outbound

This paper cites Attentive group equivariant convolutional networks.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Attentive group equivariant convolutional networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.292148Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f1fb682-fd8e-4227-bb6a-ec5e2f60df4a · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Fair1m: A benchmark dataset for fine- grained object recognition in high-resolution remote sens- ing imagery

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.285071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9eb2b3ec-9c8b-4de8-bc6d-cf52eca650fa · outbound

This paper cites Cspnet: A new backbone that can enhance learning capability of cnn.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Cspnet: A new backbone that can enhance learning capability of cnn

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.278040Z

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Observation 5d18ac49-4ee3-449d-af6f-8ff0718d8c03 · outbound

This paper cites Advancing plain vision transformer toward remote sensing foundation model.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Advancing plain vision transformer toward remote sensing foundation model

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.270794Z

Source-reported events for the cited work

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Observation 93d55c0e-f2b8-49f3-82a7-c4181b45ecac · outbound

This paper cites Learning center probability map for de- tecting objects in aerial images.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Learning center probability map for de- tecting objects in aerial images

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.263616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f362bf6-3328-4d76-8c99-419fc6d97d10 · outbound

This paper cites General e(2)-equivariant steerable cnns.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection General e(2)-equivariant steerable cnns

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.256443Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8c575dc9-af7e-461d-85c5-7919fda7382e · outbound

This paper cites Hamprecht, and Martin Storath.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Hamprecht, and Martin Storath

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.248696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 39456634-c737-4e6c-b72b-abf9a72d8ab2 · outbound

This paper cites Cbam: Convolutional block attention module.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Cbam: Convolutional block attention module

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.241734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d726cd07-6dcb-40c9-94a6-71eed7747425 · outbound

This paper cites Worrall, Stephan J.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Worrall, Stephan J

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.234404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 00d197d7-aa94-49c6-a804-23e930bb635f · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Dota: A large-scale dataset for object detection in aerial images

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.226796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6d951a4d-d605-4b10-b642-4b3915a34dda · outbound

This paper cites Oriented r-cnn for object detection.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Oriented r-cnn for object detection

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.219707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fda30a54-e30d-4348-b592-9ea95573510f · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Dynamic coarse-to-fine learning for oriented tiny object detection

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.212697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a0ee9b9-0f04-4eeb-b1f8-2c5c032db8e8 · outbound

This paper cites PP-YOLOE: An evolved version of YOLO.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection PP-YOLOE: An evolved version of YOLO

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T17:50:10.993261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52bcaa56-a702-4ecc-b962-3fa9871dad53 · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Gliding vertex on the horizontal bounding box for multi-oriented object detec- tion

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.205317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 74c206eb-8548-4d66-ad85-e286d9112f62 · outbound

This paper cites Arbitrary-oriented object detec- tion with circular smooth label.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Arbitrary-oriented object detec- tion with circular smooth label

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.198037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 85d71717-4fc7-48a0-ace2-546130e8597c · outbound

This paper cites Scrdet: Towards more robust detection for small, cluttered and rotated objects.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Scrdet: Towards more robust detection for small, cluttered and rotated objects

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.190464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0a81ebee-d447-4b87-9020-94dc79735c3a · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection R3det: Refined single-stage detector with feature refinement for ro- tating object

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.183465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a2818242-4dd1-48cb-a81a-5406d6eada54 · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Rethinking rotated object detection with gaussian wasserstein distance loss

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.176185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c19542e8-5bf8-4698-86b7-d5aae8152816 · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Learning high-precision bounding box for rotated object detection via kullback- leibler divergence

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.168088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb76dbc3-2c84-4cb4-b746-a3e4305aafbf · outbound

This paper cites Scrdet++: Detecting small, cluttered and rotated objects via instance-level feature denoising and rota- tion loss smoothing.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Scrdet++: Detecting small, cluttered and rotated objects via instance-level feature denoising and rota- tion loss smoothing

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.160790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b1d4660-522a-407d-ae5c-0c6633c14259 · outbound

This paper cites The kfiou loss for rotated object detection.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection The kfiou loss for rotated object detection

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.152992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 486075b9-756c-420f-972d-035803eeb7b7 · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Reppoints: Point set representation for object detection

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.145205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2207b49c-9f16-4ab2-a000-c4f1d852ce89 · outbound

This paper cites Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T17:50:11.018062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a7a61bb-7277-465a-a627-77bc38fa27e2 · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Mmrotate: A rotated object detection benchmark using pytorch

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.137446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f0d2d7a3-eb24-4032-b792-40f02a785488 · outbound

This paper cites Deep learning in remote sensing: A comprehensive review and list of resources.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Deep learning in remote sensing: A comprehensive review and list of resources

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.129638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2fe4d25f-2308-477e-a79d-5c86478e2eaf · outbound

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

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Object detection in 20 years: A survey

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.121941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f3923728-1fa9-49f0-ad30-fcf53248f873 · outbound

This paper cites an unresolved cited work.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:50:11.114437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 29bd4bd7-ed6b-47d9-b5bb-5eaf1c40a6ad · outbound

This paper cites The mathematical formulation of RE-CA is provided in Section 4.2, and its schematic diagram is shown in Fig.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection The mathematical formulation of RE-CA is provided in Section 4.2, and its schematic diagram is shown in Fig

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:50:11.106924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c5d493f1-c2ef-4c08-96ad-ca18d262ca8e · outbound

This paper cites an unresolved cited work.

Measuring the Impact of Rotation Equivariance on Aerial Object Detection Unresolved cited work

Reference 69

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T17:50:11.099153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Reference resolution

Outbound references

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