Paper Citation Record · LEDGER

BAFPN: Bi directional alignment of features to improve localization accuracy

As of 15 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2412.01859.

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

pith.paper-citation-record.v1
2412.01859 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:12:13.982437Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact1
verified fuzzy33
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ffd043cc-4760-4212-a66a-fa9486b81933 · outbound

This paper cites Feature pyramid networks for object detection[C]//Proceedings of the IEEE conference on computer vision and pattern recognition.

BAFPN: Bi directional alignment of features to improve localization accuracy Feature pyramid networks for object detection[C]//Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.718365Z

Source-reported events for the cited work

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

Observation c0aeb280-785e-485f-861a-068a37c246c4 · outbound

This paper cites Info-FPN: An Informative Feature Pyramid Network for object detection in remote sensing images[J].

BAFPN: Bi directional alignment of features to improve localization accuracy Info-FPN: An Informative Feature Pyramid Network for object detection in remote sensing images[J]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.701062Z

Source-reported events for the cited work

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

Observation cf6b892b-1302-4c67-aa76-ba954c2990ae · outbound

This paper cites CE -FPN: enhancing channel information for object detection[J].

BAFPN: Bi directional alignment of features to improve localization accuracy CE -FPN: enhancing channel information for object detection[J]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.684942Z

Source-reported events for the cited work

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

Observation 6dcd6f00-24d2-4c4f-9583-6b8f979ad69a · outbound

This paper cites Fapn: Feature -aligned pyramid network for dense image prediction[C]//Proceedings of the IEEE/CVF international conference on computer vision.

BAFPN: Bi directional alignment of features to improve localization accuracy Fapn: Feature -aligned pyramid network for dense image prediction[C]//Proceedings of the IEEE/CVF international conference on computer vision

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.668698Z

Source-reported events for the cited work

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

Observation 60a9ed0d-bf1a-4632-b204-d8c134c25838 · outbound

This paper cites Augfpn: Improving multi -scale feature learning for object detection[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

BAFPN: Bi directional alignment of features to improve localization accuracy Augfpn: Improving multi -scale feature learning for object detection[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.652529Z

Source-reported events for the cited work

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

Observation 277ba109-01fe-4020-be38-fb2b50959d43 · outbound

This paper cites A2-FPN: Attention aggregation based feature pyramid network for instance segmentation[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

BAFPN: Bi directional alignment of features to improve localization accuracy A2-FPN: Attention aggregation based feature pyramid network for instance segmentation[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.635759Z

Source-reported events for the cited work

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

Observation a0562415-6500-4e0e-87bf-6cf45eb9ce1c · outbound

This paper cites Feature alignment FPN for oriented object detection in remote sensing images[J].

BAFPN: Bi directional alignment of features to improve localization accuracy Feature alignment FPN for oriented object detection in remote sensing images[J]

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.619936Z

Source-reported events for the cited work

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

Observation 07269fb9-28cd-485c-869b-f93feb335e78 · outbound

This paper cites Arbitrary -oriented scene text detection via rotation proposals[J].

BAFPN: Bi directional alignment of features to improve localization accuracy Arbitrary -oriented scene text detection via rotation proposals[J]

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.604994Z

Source-reported events for the cited work

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

Observation 57811f97-64d2-4799-a053-64da3d4d34e1 · outbound

This paper cites H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection.

BAFPN: Bi directional alignment of features to improve localization accuracy H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-12T05:12:14.102081Z

Source-reported events for the cited work

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

Observation 591893e6-5db7-48b8-9dc7-55307e6966f7 · outbound

This paper cites Building a bridge of bounding box regression between oriented and horizontal object detection in remote sensing images[J].

BAFPN: Bi directional alignment of features to improve localization accuracy Building a bridge of bounding box regression between oriented and horizontal object detection in remote sensing images[J]

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.590071Z

Source-reported events for the cited work

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

Observation a58193ac-d563-48a0-b544-7ec3364c4e35 · outbound

This paper cites Arbitrary-oriented object detection with circular smooth label[C]//Computer Vision –ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VIII 16.

BAFPN: Bi directional alignment of features to improve localization accuracy Arbitrary-oriented object detection with circular smooth label[C]//Computer Vision –ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VIII 16

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.573454Z

Source-reported events for the cited work

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

Observation 151ad714-d545-4e53-9132-50b46fde07b4 · outbound

This paper cites Task interleaving and orientation estimation for high-precision oriented object detection in aerial images[J].

BAFPN: Bi directional alignment of features to improve localization accuracy Task interleaving and orientation estimation for high-precision oriented object detection in aerial images[J]

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.555979Z

Source-reported events for the cited work

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

Observation c6ad4249-d2a2-48b5-a504-af2875a72f81 · outbound

This paper cites Rethinking rotated object detection with gaussian wasserstein distance loss[C]//International conference on machine learning.

BAFPN: Bi directional alignment of features to improve localization accuracy Rethinking rotated object detection with gaussian wasserstein distance loss[C]//International conference on machine learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.537867Z

Source-reported events for the cited work

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

Observation cb8d9cfd-e46d-413c-915b-95079aecda80 · outbound

This paper cites Learning modulated loss for rotated object detection[C]//Proceedings of the AAAI conference on artificial intelligence.

BAFPN: Bi directional alignment of features to improve localization accuracy Learning modulated loss for rotated object detection[C]//Proceedings of the AAAI conference on artificial intelligence

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.520788Z

Source-reported events for the cited work

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

Observation 8dc653e2-e7d0-4afc-9962-96ba6e566904 · outbound

This paper cites an unresolved cited work.

BAFPN: Bi directional alignment of features to improve localization accuracy Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:12:14.504885Z

Source-reported events for the cited work

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

Observation 6a489303-eb12-4283-98e4-022bcd9e4d99 · outbound

This paper cites Adaptive rotated convolution for rotated object detection[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision.

BAFPN: Bi directional alignment of features to improve localization accuracy Adaptive rotated convolution for rotated object detection[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.489213Z

Source-reported events for the cited work

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

Observation e1ce4327-e98a-4f97-ab4d-e3f5c68f8333 · outbound

This paper cites Large selective kernel network for remote sensing object detection[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision.

BAFPN: Bi directional alignment of features to improve localization accuracy Large selective kernel network for remote sensing object detection[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.473165Z

Source-reported events for the cited work

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

Observation e5dda686-b696-4efe-b462-9933e2f61f96 · outbound

This paper cites A2-FPN for semantic segmentation of fine- resolution remotely sensed images[J].

BAFPN: Bi directional alignment of features to improve localization accuracy A2-FPN for semantic segmentation of fine- resolution remotely sensed images[J]

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.438982Z

Source-reported events for the cited work

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

Observation 4c169122-3c9d-438f-a1a5-885a9e243e2a · outbound

This paper cites Cross -layer feature pyramid network for salient object detection[J].

BAFPN: Bi directional alignment of features to improve localization accuracy Cross -layer feature pyramid network for salient object detection[J]

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.420038Z

Source-reported events for the cited work

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

Observation c8b0b13f-372c-455e-94c8-a08b34f7e1f1 · outbound

This paper cites LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network.

BAFPN: Bi directional alignment of features to improve localization accuracy LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T05:12:13.871112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f232fdd-a620-4007-85c2-650e7deb0843 · outbound

This paper cites ssFPN: Scale sequence (S 2) feature-based feature pyramid network for object detection[J].

BAFPN: Bi directional alignment of features to improve localization accuracy ssFPN: Scale sequence (S 2) feature-based feature pyramid network for object detection[J]

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.400580Z

Source-reported events for the cited work

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

Observation 440d40a7-1808-4ca4-9444-5d3ff3d27bc3 · outbound

This paper cites Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolution[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

BAFPN: Bi directional alignment of features to improve localization accuracy Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolution[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.382355Z

Source-reported events for the cited work

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

Observation 2e7de29f-6c9b-40b9-b6e6-f9dedacb7494 · outbound

This paper cites Nas -fpn: Learning scalable feature pyramid architecture for object detection[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

BAFPN: Bi directional alignment of features to improve localization accuracy Nas -fpn: Learning scalable feature pyramid architecture for object detection[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.363685Z

Source-reported events for the cited work

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

Observation 50772014-0cbd-4124-b5f7-7fbfbbbadac6 · outbound

This paper cites Auto-fpn: Automatic network architecture adaptation for object detection beyond classification[C]//Proceedings of the IEEE/CVF international conference on computer vision.

BAFPN: Bi directional alignment of features to improve localization accuracy Auto-fpn: Automatic network architecture adaptation for object detection beyond classification[C]//Proceedings of the IEEE/CVF international conference on computer vision

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.344837Z

Source-reported events for the cited work

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

Observation e232ecb4-f1a8-4379-b622-b4db31113c33 · outbound

This paper cites Effective fusion factor in FPN for tiny object detection[C]//Proceedings of the IEEE/CVF winter conference on applications of computer vision.

BAFPN: Bi directional alignment of features to improve localization accuracy Effective fusion factor in FPN for tiny object detection[C]//Proceedings of the IEEE/CVF winter conference on applications of computer vision

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.325860Z

Source-reported events for the cited work

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

Observation 3a15924f-f636-4577-9bdd-0b920bf6f5f8 · outbound

This paper cites Retro-fpn: Retrospective feature pyramid network for point cloud semantic segmentation[C]//Proceedings of the IEEE/CVF international conference on computer vision.

BAFPN: Bi directional alignment of features to improve localization accuracy Retro-fpn: Retrospective feature pyramid network for point cloud semantic segmentation[C]//Proceedings of the IEEE/CVF international conference on computer vision

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.308457Z

Source-reported events for the cited work

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

Observation a56c856a-0b76-4308-a9e7-4a4d31fedab8 · outbound

This paper cites Deformable convolutional networks[C]//Proceedings of the IEEE international conference on computer vision.

BAFPN: Bi directional alignment of features to improve localization accuracy Deformable convolutional networks[C]//Proceedings of the IEEE international conference on computer vision

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.290819Z

Source-reported events for the cited work

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

Observation 63323ab4-7172-45a4-bad8-4a8e25913e25 · outbound

This paper cites Cbam: Convolutional block attention module[C]//Proceedings of the European conference on computer vision (ECCV).

BAFPN: Bi directional alignment of features to improve localization accuracy Cbam: Convolutional block attention module[C]//Proceedings of the European conference on computer vision (ECCV)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.270349Z

Source-reported events for the cited work

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

Observation 80052731-ca53-4741-9115-3cc6942f1439 · outbound

This paper cites Squeeze -and-excitation networks[C]//Proceedings of the IEEE conference on computer vision and pattern recognition.

BAFPN: Bi directional alignment of features to improve localization accuracy Squeeze -and-excitation networks[C]//Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.245565Z

Source-reported events for the cited work

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

Observation 4b8fa15e-f9e3-4626-80d0-a9097ad4b6bd · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

BAFPN: Bi directional alignment of features to improve localization accuracy Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T05:12:13.925926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1574007-48e8-4a72-89b4-3f2f463773ac · outbound

This paper cites Learning RoI transformer for oriented object detection in aerial images[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

BAFPN: Bi directional alignment of features to improve localization accuracy Learning RoI transformer for oriented object detection in aerial images[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.224280Z

Source-reported events for the cited work

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

Observation 410828e9-d38b-455a-ba80-45d3c9a9ff0d · outbound

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

BAFPN: Bi directional alignment of features to improve localization accuracy Gliding vertex on the horizontal bounding box for multi -oriented object detection[J]

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.204970Z

Source-reported events for the cited work

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

Observation b8b7304a-dc21-4d01-89d2-746b1588c592 · outbound

This paper cites Focal Loss for Dense Object Detection.

BAFPN: Bi directional alignment of features to improve localization accuracy Focal Loss for Dense Object Detection

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T05:12:13.941989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a364bb6d-be66-4b54-a0b9-e595f4878320 · outbound

This paper cites FCOS: Fully Convolutional One-Stage Object Detection.

BAFPN: Bi directional alignment of features to improve localization accuracy FCOS: Fully Convolutional One-Stage Object Detection

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T05:12:13.948510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51c0704d-93f1-4af9-a736-514a7b01a695 · outbound

This paper cites Oriented R -CNN for object detection[C]//Proceedings of the IEEE/CVF international conference on computer vision.

BAFPN: Bi directional alignment of features to improve localization accuracy Oriented R -CNN for object detection[C]//Proceedings of the IEEE/CVF international conference on computer vision

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.186289Z

Source-reported events for the cited work

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

Observation c657c50d-8da0-410b-89c4-644068f0059a · outbound

This paper cites DOTA: A large -scale dataset for object detection in aerial images[C]//Proceedings of the IEEE conference on computer vision and pattern recognition.

BAFPN: Bi directional alignment of features to improve localization accuracy DOTA: A large -scale dataset for object detection in aerial images[C]//Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.168003Z

Source-reported events for the cited work

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

Observation 3637091c-340e-4545-a25a-1677c7779e11 · outbound

This paper cites Path aggregation network for instance segmentation[C]//Proceedings of the IEEE conference on computer vision and pattern recognition.

BAFPN: Bi directional alignment of features to improve localization accuracy Path aggregation network for instance segmentation[C]//Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.456653Z

Source-reported events for the cited work

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

Observation dff5f508-e660-4578-bfdd-5e1ece108f97 · outbound

This paper cites Deep residual learning for image recognition[C]//Proceedings of the IEEE conference on computer vision and pattern recognition.

BAFPN: Bi directional alignment of features to improve localization accuracy Deep residual learning for image recognition[C]//Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T05:12:13.971475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94fcee94-bb6c-417a-9aa4-2f599edec05c · outbound

This paper cites AFPN: Asymptotic feature pyramid network for object detection[C]//2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

BAFPN: Bi directional alignment of features to improve localization accuracy AFPN: Asymptotic feature pyramid network for object detection[C]//2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.136123Z

Source-reported events for the cited work

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

Observation a06173e0-dca5-432c-98fb-c24927f1a2cd · outbound

This paper cites Improving language models by retrieving from trillions of tokens[C]//International conference on machine learning.

BAFPN: Bi directional alignment of features to improve localization accuracy Improving language models by retrieving from trillions of tokens[C]//International conference on machine learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:12:14.119956Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.