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Paper Citation Record · LEDGER

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images

As of 19 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2601.12507.

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

pith.paper-citation-record.v1
2601.12507 v2

Coverage vector

measured 56 of 56 reference resolution

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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

56 of 56 outbound references displayed

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Outbound references

Observation aee1e14d-c4ab-4ca3-8445-c50dc493b775 · outbound

This paper cites Small object detection: A comprehensive survey on challenges, techniques and real-world applications,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Small object detection: A comprehensive survey on challenges, techniques and real-world applications,

Reference 1

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Observation 9e62f5cf-3a1a-490b-8d54-f0e13dea9abd · outbound

This paper cites Remote sensing object detection in the deep learning era—a review,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Remote sensing object detection in the deep learning era—a review,

Reference 2

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Observation cbbea9f9-e495-4d1e-9536-d45ce9575e90 · outbound

This paper cites A review of deep-learning-based super-resolution: From methods to applications,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images A review of deep-learning-based super-resolution: From methods to applications,

Reference 3

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Observation 62464244-8760-49e4-9e68-55c86109702f · outbound

This paper cites Image super- resolution: A comprehensive review, recent trends, challenges and ap- plications,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Image super- resolution: A comprehensive review, recent trends, challenges and ap- plications,

Reference 4

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Observation f352cd17-2ce3-4b2a-adf3-76ef1e57f680 · outbound

This paper cites Lightweight remote sensing super-resolution with multi-scale graph attention network,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Lightweight remote sensing super-resolution with multi-scale graph attention network,

Reference 5

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Observation 384a6df7-27ba-42c5-85e5-fa65a447c4a9 · outbound

This paper cites A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing,

Reference 6

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Observation 63168c70-8e2b-4f0a-b74f-c22dd96840c2 · outbound

This paper cites Task-driven super res- olution: Object detection in low-resolution images,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Task-driven super res- olution: Object detection in low-resolution images,

Reference 7

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Observation 9ded6c7c-a221-4b56-a7df-b454645c83d4 · outbound

This paper cites Distilling knowledge from super-resolution for efficient remote sensing salient object detection,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Distilling knowledge from super-resolution for efficient remote sensing salient object detection,

Reference 8

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Observation 6a9570e9-4673-4ee1-8c2f-070efc43e038 · outbound

This paper cites Small- object detection in remote sensing images with end-to-end edge- enhanced gan and object detector network,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Small- object detection in remote sensing images with end-to-end edge- enhanced gan and object detector network,

Reference 9

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Observation 1bc7b4f7-3d52-433d-8842-49200eccec2c · outbound

This paper cites Beyond image super-resolution for image recognition with task-driven perceptual loss,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Beyond image super-resolution for image recognition with task-driven perceptual loss,

Reference 10

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Observation 30b4afb3-0c75-4f81-9b27-3285b6d7c291 · outbound

This paper cites DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

Reference 11

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Observation 8747461a-3f9a-4034-9039-715402ce0b5b · outbound

This paper cites Dn-detr: Accelerate detr training by introducing query denoising,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Dn-detr: Accelerate detr training by introducing query denoising,

Reference 12

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Observation e4b274b8-1b5f-4464-a412-b1e573bae703 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 13

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Observation c9d210c0-3fca-4fee-b202-f7376e092fc0 · outbound

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

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 14

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Observation 6183e85e-2ec2-42c5-9817-5170a4f18b58 · outbound

This paper cites Yolo9000: Better, faster, stronger,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Yolo9000: Better, faster, stronger,

Reference 15

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Observation 2675df6b-053d-44bb-b8bf-8e5a67271a26 · outbound

This paper cites Ffca-yolo for small object detection in remote sensing images,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Ffca-yolo for small object detection in remote sensing images,

Reference 16

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Observation 762bfcca-a258-45c1-ad4c-6cc975725ac4 · outbound

This paper cites Lsodnet: A lightweight and efficient detector for small object detection in remote sensing images,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Lsodnet: A lightweight and efficient detector for small object detection in remote sensing images,

Reference 17

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Observation 5aa53241-82db-4769-92e0-fbcdb4727898 · outbound

This paper cites Drone-detr: Efficient small object detection for remote sensing image using enhanced rt-detr model,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Drone-detr: Efficient small object detection for remote sensing image using enhanced rt-detr model,

Reference 18

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Observation e153f055-a68e-4c83-82d3-0686e56ae0ac · outbound

This paper cites Rs-detr: An improved remote sensing object detection model based on rt-detr,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Rs-detr: An improved remote sensing object detection model based on rt-detr,

Reference 19

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Observation d9945e87-beb2-4720-a336-f75e8c90e549 · outbound

This paper cites Transformers in small object detection: A benchmark and survey of state-of-the-art,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Transformers in small object detection: A benchmark and survey of state-of-the-art,

Reference 20

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Observation ad2b830c-89d7-42c1-b036-37ac504a28b6 · outbound

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

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Learning rotation-invariant convolu- tional neural networks for object detection in vhr optical remote sensing images,

Reference 21

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Observation 42f3fff7-e5d1-4956-8296-5f5bbcf447b3 · outbound

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

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Dota: A large-scale dataset for object detection in aerial images,

Reference 22

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Observation f542cf19-f71f-44e2-bb67-c14d2821cf8a · outbound

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

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Hierarchical and robust convolutional neural network for very high-resolution remote sensing object detection,

Reference 23

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Observation fbe38e17-4db2-47a1-8e30-34b081759cb8 · outbound

This paper cites Image super-resolution using deep convolutional networks,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Image super-resolution using deep convolutional networks,

Reference 24

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Observation 4855d421-554c-4377-a245-1c84c8883c93 · outbound

This paper cites Super-resolution for remote sensing images via local–global combined network,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Super-resolution for remote sensing images via local–global combined network,

Reference 25

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Observation 131052e8-7e1e-499d-a1c0-279e12350e2a · outbound

This paper cites Deep distillation recursive network for remote sensing imagery super-resolution,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Deep distillation recursive network for remote sensing imagery super-resolution,

Reference 26

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Observation f77c8aec-f683-4545-9b99-5b174cc5e2f5 · outbound

This paper cites Edge-enhanced gan for remote sensing image superresolution,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Edge-enhanced gan for remote sensing image superresolution,

Reference 27

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Observation 090350f2-3f42-494d-bfa9-1b80a4dc5ccb · outbound

This paper cites Hierarchical dense recursive network for image super-resolution,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Hierarchical dense recursive network for image super-resolution,

Reference 28

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Observation 82882241-df2d-4fcc-91e5-2c1f192e3fea · outbound

This paper cites From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution,

Reference 29

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Observation f7597791-393e-459d-b0a1-29ec51416f81 · outbound

This paper cites Image super- resolution using very deep residual channel attention networks,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Image super- resolution using very deep residual channel attention networks,

Reference 30

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Observation 229a964e-0b49-4f96-b74c-f8462af1103b · outbound

This paper cites Single image super-resolution via a holistic attention network,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Single image super-resolution via a holistic attention network,

Reference 31

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Observation ca6778b7-8d1b-4324-a539-1d8a809524b1 · outbound

This paper cites Hybrid-scale self-similarity exploitation for remote sensing image super-resolution,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Hybrid-scale self-similarity exploitation for remote sensing image super-resolution,

Reference 32

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Observation 127cfa3c-e522-4957-83da-bd95a381d7b9 · outbound

This paper cites Image super-resolution with non- local sparse attention,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Image super-resolution with non- local sparse attention,

Reference 33

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Observation 1905dadd-141a-4dba-b673-b860f07785ee · outbound

This paper cites Task-agnostic vision transformer for distributed learning of image processing,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Task-agnostic vision transformer for distributed learning of image processing,

Reference 34

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Observation 136fce7e-7d65-4d4a-aae4-c7d1f57a9981 · outbound

This paper cites Dster: A dense spectral transformer for remote sensing spectral super-resolution,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Dster: A dense spectral transformer for remote sensing spectral super-resolution,

Reference 35

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Observation 61474abb-2b86-4604-aa26-96b7e75b59b1 · outbound

This paper cites Local-global temporal difference learning for satellite video super- resolution,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Local-global temporal difference learning for satellite video super- resolution,

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Observation c05fea5f-58f0-4696-a47b-c653299723f2 · outbound

This paper cites Swinir: Image restoration using swin transformer,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Swinir: Image restoration using swin transformer,

Reference 37

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Observation aa6a11e8-b831-49e7-8841-7461f73d4722 · outbound

This paper cites Ttst: A top- k token selective transformer for remote sensing image super-resolution,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Ttst: A top- k token selective transformer for remote sensing image super-resolution,

Reference 38

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Observation a1abb1f0-4068-4edb-96b8-41f197ac342a · outbound

This paper cites Efficient swin transformer for remote sensing image super-resolution,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Efficient swin transformer for remote sensing image super-resolution,

Reference 39

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Observation b9bfffca-81c4-443c-a4b8-3573244804ee · outbound

This paper cites Multi-scale object detection in remote sensing imagery with convolutional neural networks,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Multi-scale object detection in remote sensing imagery with convolutional neural networks,

Reference 40

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Observation 5589d965-3c2e-415d-be93-e19519cc41ac · outbound

This paper cites Fsanet: Feature-and-spatial-aligned network for tiny object detection in remote sensing images,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Fsanet: Feature-and-spatial-aligned network for tiny object detection in remote sensing images,

Reference 41

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Observation e6fc100e-16dc-4856-9e98-84a478bbbb04 · outbound

This paper cites Feature-enhanced centernet for small object detection in remote sensing images,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Feature-enhanced centernet for small object detection in remote sensing images,

Reference 42

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Observation 20baa731-e3af-47cb-ba3f-b24559a2132c · outbound

This paper cites Legnet: A lightweight edge-gaussian network for low-quality remote sensing image object detection,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Legnet: A lightweight edge-gaussian network for low-quality remote sensing image object detection,

Reference 43

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Observation e5f2db6d-2777-4382-9894-1894e02d1a0a · outbound

This paper cites Pr-deformable detr: Detr for remote sensing object detection,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Pr-deformable detr: Detr for remote sensing object detection,

Reference 44

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Observation ef243698-be28-4dd9-a4e1-214ae7a898a4 · outbound

This paper cites The effects of super-resolution on object detection performance in satellite imagery,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images The effects of super-resolution on object detection performance in satellite imagery,

Reference 45

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Observation 0a863f3e-832f-4f63-9ff5-428099a9d8e6 · outbound

This paper cites Vehicle detection in remote sensing images leveraging on simultaneous super-resolution,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Vehicle detection in remote sensing images leveraging on simultaneous super-resolution,

Reference 46

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Observation 6787664e-31ee-429b-8214-3951512cebb8 · outbound

This paper cites From point to region: Accurate and efficient hierarchical small object detection in low-resolution remote sensing images,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images From point to region: Accurate and efficient hierarchical small object detection in low-resolution remote sensing images,

Reference 47

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Observation 1f8403f3-ddef-42b3-b1c4-1fa5bb8ada54 · outbound

This paper cites Dino: Detr with improved denoising anchor boxes for end-to- end object detection,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Dino: Detr with improved denoising anchor boxes for end-to- end object detection,

Reference 48

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Observation 1be23326-e40f-4b3a-94f0-3d8300824901 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 49

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Observation cbe695af-2f1a-4a5d-a8c4-f79abd63a67f · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images U-net: Convolutional networks for biomedical image segmentation,

Reference 50

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Observation 757963d2-698e-47cc-82b1-335a7416c530 · outbound

This paper cites Focal loss for dense object detection,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Focal loss for dense object detection,

Reference 51

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Observation 1289fed8-666a-4d60-b2f5-fe9d0f5cf61f · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Cascade r-cnn: Delving into high quality object detection,

Reference 52

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Observation df8a4362-260b-4477-9539-a393aab0a9e7 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images YOLOX: Exceeding YOLO Series in 2021

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Observation 3bb8cb1b-336b-4f8b-a02c-9d83c393ad92 · outbound

This paper cites Sparse r-cnn: An end-to-end framework for object detection,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Sparse r-cnn: An end-to-end framework for object detection,

Reference 54

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Observation 92e953f0-392e-486e-bf46-8422f9469258 · outbound

This paper cites Fsanet: Feature-and-spatial-aligned network for tiny object detection in remote sensing images,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Fsanet: Feature-and-spatial-aligned network for tiny object detection in remote sensing images,

Reference 55

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Observation 5277088b-cbf8-4557-bb06-e6726c7ae431 · outbound

This paper cites Superyolo: Super resolution assisted object detection in multimodal remote sensing im- agery,.

CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images Superyolo: Super resolution assisted object detection in multimodal remote sensing im- agery,

Reference 56

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