Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T09:47:24.456210Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T09:47:24.456210Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
56 of 56 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation aee1e14d-c4ab-4ca3-8445-c50dc493b775 · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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,
Reference 36
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Observation c05fea5f-58f0-4696-a47b-c653299723f2 · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images YOLOX: Exceeding YOLO Series in 2021
Reference 53
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Observation 3bb8cb1b-336b-4f8b-a02c-9d83c393ad92 · outbound
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
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
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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No inbound Pith citation observations are available.