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Paper Citation Record · LEDGER

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection

As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.05148.

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

pith.paper-citation-record.v1
2607.05148 v2

Coverage vector

measured 32 of 32 reference resolution

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measured 32 of 32 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

32 of 32 outbound references displayed

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Outbound references

Observation 6a15639e-6adf-41e8-80b3-6eeae81f99d3 · outbound

This paper cites In: CVPR (2018).

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: CVPR (2018)

Reference 1

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Observation 7ff466ac-a90a-4bd4-8879-f24e528be8fa · outbound

This paper cites In: CVPR.

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: CVPR

Reference 2

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition.

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition

Reference 3

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This paper cites In: ICML (2016).

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: ICML (2016)

Reference 4

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Observation af2bd7d0-c41c-427a-a57c-aeb30860c662 · outbound

This paper cites In: 2017 IEEE International Conference on Computer Vision (ICCV).

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: 2017 IEEE International Conference on Computer Vision (ICCV)

Reference 5

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This paper cites IEEE Transactions on Neural Networks and Learning Systems35(10), 13232–13245 (2024).

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection IEEE Transactions on Neural Networks and Learning Systems35(10), 13232–13245 (2024)

Reference 6

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This paper cites IEEE TPAMI46(10), 6577–6593 (2024).

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection IEEE TPAMI46(10), 6577–6593 (2024)

Reference 7

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This paper cites In: CVPR.

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: CVPR

Reference 8

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This paper cites arXiv preprint arXiv:2512.09489 (2025).

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection arXiv preprint arXiv:2512.09489 (2025)

Reference 9

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This paper cites In: Proceedings of the 31st ACM International Con- ference on Multimedia.

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: Proceedings of the 31st ACM International Con- ference on Multimedia

Reference 10

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This paper cites IEEE Transactions on Geoscience and Remote Sensing61, 1–13 (2023).https://doi.org/10.1109/ TGRS.2023.3307288.

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection IEEE Transactions on Geoscience and Remote Sensing61, 1–13 (2023).https://doi.org/10.1109/ TGRS.2023.3307288

Reference 11

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Observation 214be3be-6bac-49ae-a878-9e6cc67944c1 · outbound

This paper cites In: ICCV.

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: ICCV

Reference 12

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This paper cites Ultralytics (2023), available athttps: //github.com/ultralytics/ultralytics.

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection Ultralytics (2023), available athttps: //github.com/ultralytics/ultralytics

Reference 13

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: AAAI

Reference 14

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: Computer Vision – ECCV 2014

Reference 15

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Observation 5c03d52c-4cac-48d3-a985-574939b8a8f6 · outbound

This paper cites IEEE Geoscience and Remote Sensing Letters21, 1–5 (2024).

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection IEEE Geoscience and Remote Sensing Letters21, 1–5 (2024)

Reference 16

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This paper cites Journal of Visual Communication and Image Representation 34, 187–203 (2016) Supplementary Material 21.

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection Journal of Visual Communication and Image Representation 34, 187–203 (2016) Supplementary Material 21

Reference 17

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This paper cites Pattern Recognition (2024).

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection Pattern Recognition (2024)

Reference 18

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection IEEE TCSVT32(10), 6700–6713 (2022)

Reference 19

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing18, 2749–2765 (2025)

Reference 20

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition

Reference 21

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: NeurIPS (2019)

Reference 22

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: ACMMM

Reference 23

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 24

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection IEEE Geoscience and Remote Sensing Letters (2024)

Reference 25

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: CVPR

Reference 26

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection Applied Soft Com- puting163, 111971 (2024)

Reference 27

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: Asian Conference on Computer Vision

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection arXiv preprint arXiv:2401.10731 (2024)

Reference 29

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 30

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing18, 2401–2413 (2025)

Reference 31

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Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2019)

Reference 32

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Pith citing papers

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