Paper Citation Record · LEDGER

LP-DETR: Layer-wise Progressive Relations for Object Detection

As of 18 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 2 inbound Pith citation observations for arXiv:2502.05147.

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

pith.paper-citation-record.v1
2502.05147 v3

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:08:41.036956Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:12:09.602233Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:05:07.357173Z

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy43
unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10bdb7d1-b173-4e87-aebb-de31a1690143 · outbound

This paper cites This paper presents LP-DETR (Layer-wise Progressive Relation DETR), a novel approach that enhances DETR-based object detection through multi-scale relation modeling.

LP-DETR: Layer-wise Progressive Relations for Object Detection This paper presents LP-DETR (Layer-wise Progressive Relation DETR), a novel approach that enhances DETR-based object detection through multi-scale relation modeling

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.839495Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 38e63135-0795-4cec-b62c-9defe416acda · outbound

This paper cites Method Backbone Epochs AP AP_50 AP_75 AP_S AP_M AP_L DINO.

LP-DETR: Layer-wise Progressive Relations for Object Detection Method Backbone Epochs AP AP_50 AP_75 AP_S AP_M AP_L DINO

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.515523Z

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Observation 3354a97d-e462-4f37-adcc-3c2d4e00c847 · outbound

This paper cites =#𝑤!#"$ #⋅&𝑊%⋅𝑞#( (1) The relation weight 𝑤'-* captures both geometric and attention-based relationships be-tween queries, which is computed as: 𝑤!#.

LP-DETR: Layer-wise Progressive Relations for Object Detection =#𝑤!#"$ #⋅&𝑊%⋅𝑞#( (1) The relation weight 𝑤'-* captures both geometric and attention-based relationships be-tween queries, which is computed as: 𝑤!#

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.800573Z

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Observation 1d182bb4-d608-468b-9b75-f0c614a2b5cd · outbound

This paper cites et al.: Group DETR: Fast DETR Training with Group-wise One-to-many Assign-ment.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Group DETR: Fast DETR Training with Group-wise One-to-many Assign-ment

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.327242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5f01b580-a55d-4cd0-bca8-441f7963697f · outbound

This paper cites et al.: Iterative Visual Reasoning Beyond Convolutions.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Iterative Visual Reasoning Beyond Convolutions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.269920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc72351b-b269-4f3c-a312-b124270fe806 · outbound

This paper cites COCO 2017 contains 113k train-ing images across 80 object categories.

LP-DETR: Layer-wise Progressive Relations for Object Detection COCO 2017 contains 113k train-ing images across 80 object categories

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.747575Z

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Observation ad4b987c-551f-49b0-8318-55c414abac06 · outbound

This paper cites Method Backbone Epochs AP AP_50 AP_75 AP_S AP_M AP_L Def-DETR.

LP-DETR: Layer-wise Progressive Relations for Object Detection Method Backbone Epochs AP AP_50 AP_75 AP_S AP_M AP_L Def-DETR

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.583858Z

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Observation 0c448807-6f81-4baf-840c-698788b02e40 · outbound

This paper cites et al.: Relation-enhanced DETR for Component Detection in Graphic Design Re-verse Engineering.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Relation-enhanced DETR for Component Detection in Graphic Design Re-verse Engineering

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.016057Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ebb46a9c-b089-4bc1-b469-9c7c3fb91b9b · outbound

This paper cites et al.: SRRV: A Novel Document Object Detector Based on Spatial-Related Relation and Vision.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: SRRV: A Novel Document Object Detector Based on Spatial-Related Relation and Vision

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.447073Z

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Observation 136b2c18-56e5-437c-b9a0-cbde96e28148 · outbound

This paper cites an unresolved cited work.

LP-DETR: Layer-wise Progressive Relations for Object Detection Unresolved cited work

Reference 10

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Observation 7a40dc78-c9a5-45c0-8b95-eebe01362df8 · outbound

This paper cites et al.: Align-DETR: Improving DETR with Simple IoU-aware BCE Loss.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Align-DETR: Improving DETR with Simple IoU-aware BCE Loss

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.430674Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d16a7bd7-c8d7-45b7-abfb-69ac9dfdeedd · outbound

This paper cites et al.: End-to-End Object Detection with Transformers.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: End-to-End Object Detection with Transformers

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.413663Z

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Observation e5287eb3-d8a1-4161-b2aa-a1a7c4c8b1b4 · outbound

This paper cites et al.: DAC-DETR: Divide the Attention Layers and Conquer.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: DAC-DETR: Divide the Attention Layers and Conquer

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:42.775860Z

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Observation 93811c38-4196-4821-8749-e4bf3ba38afd · outbound

This paper cites et al.: EEE-Net: Efficient Edge Enhanced Network for Surface Defect Detection of Glass.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: EEE-Net: Efficient Edge Enhanced Network for Surface Defect Detection of Glass

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.253660Z

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Observation 20ef70bb-a580-450d-9bbd-d714bb1b3296 · outbound

This paper cites et al.: ImageNet: A Large-scale Hierarchical Image Database.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: ImageNet: A Large-scale Hierarchical Image Database

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.121094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2dc5e105-36ec-4360-9972-b6d638d132b8 · outbound

This paper cites Position re-lations are constructed at three scales (local, medium, and global) with equal initial weights on 6 decoder layers.

LP-DETR: Layer-wise Progressive Relations for Object Detection Position re-lations are constructed at three scales (local, medium, and global) with equal initial weights on 6 decoder layers

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.651246Z

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Observation 855d2d02-f58a-40f4-9036-c0733461b273 · outbound

This paper cites et al.: Deep Residual Learning for Image Recognition.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Deep Residual Learning for Image Recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.000883Z

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Observation fdd298fc-c835-49f7-a9b0-526ac4c16b4f · outbound

This paper cites et al.: Relation DETR: Exploring Explicit Position Relation Prior for Object De-tection.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Relation DETR: Exploring Explicit Position Relation Prior for Object De-tection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:42.982603Z

Source-reported events for the cited work

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Observation c6b1efa4-999b-420f-b7ea-185e5e4bd8ac · outbound

This paper cites et al.: Salience DETR: Enhancing Detection Transformer with Hierarchical Sali-ence Filtering Refinement.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Salience DETR: Enhancing Detection Transformer with Hierarchical Sali-ence Filtering Refinement

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:42.841012Z

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Observation 606952a3-8f7d-41d1-addc-129a1a238643 · outbound

This paper cites et al.: Relation Networks for Object Detection.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Relation Networks for Object Detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:42.800658Z

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Observation cc143ff3-ae8c-4eb6-a480-5ca7fc62902d · outbound

This paper cites et al.: Microsoft COCO: Common Objects in Context.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Microsoft COCO: Common Objects in Context

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:42.490172Z

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Observation 1678f24b-ab34-499c-9333-7988064c0027 · outbound

This paper cites et al.: DETRs with Hybrid Matching.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: DETRs with Hybrid Matching

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:42.732653Z

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Observation 48272cf3-924a-41e1-b56b-82588f6497f1 · outbound

This paper cites an unresolved cited work.

LP-DETR: Layer-wise Progressive Relations for Object Detection Unresolved cited work

Reference 23

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Observation de0bb099-48d3-44eb-a71a-7df54cb06f85 · outbound

This paper cites et al.: Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:42.655472Z

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Observation 24dc69c3-a9e0-4136-bc59-b3728eda8780 · outbound

This paper cites et al.: DN-DETR: Accelerate DETR Training by Introducing Query Denoising.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: DN-DETR: Accelerate DETR Training by Introducing Query Denoising

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:42.606248Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 889157a9-1b70-4a62-b9f7-02a4247c7cca · outbound

This paper cites et al.: GAR: Graph Assisted Reasoning for Object Detection.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: GAR: Graph Assisted Reasoning for Object Detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:42.590623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1fb05c52-1754-4d0e-a4d1-0d14d7cf5f27 · outbound

This paper cites et al.: Revolutionizing Drug Discovery: Integrating Spatial Transcriptomics with Ad-vanced Computer Vision Techniques.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Revolutionizing Drug Discovery: Integrating Spatial Transcriptomics with Ad-vanced Computer Vision Techniques

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:42.542352Z

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Observation 5b7a6069-dc29-4cfa-b445-2464ba62cfd7 · outbound

This paper cites et al.: Core-Text: Improving Scene Text Detection with Contrastive Relational Rea-soning.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Core-Text: Improving Scene Text Detection with Contrastive Relational Rea-soning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:42.506216Z

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Observation f236ada7-a06b-4558-9140-ee011c37797d · outbound

This paper cites et al.: A Casting Surface Dataset and Benchmark for Subtle and Confusable De-fect Detection in Complex Contexts.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: A Casting Surface Dataset and Benchmark for Subtle and Confusable De-fect Detection in Complex Contexts

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:41.849726Z

Source-reported events for the cited work

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Observation 313770ef-7e41-4dd0-8c9f-c64b6b339ebe · outbound

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

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:42.203840Z

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Observation 2ba21864-adc5-4361-a7fe-0d754091a62f · outbound

This paper cites et al.: Detection Transformer with Stable Matching.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Detection Transformer with Stable Matching

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:42.029526Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43cbb285-4069-4653-8051-10775e5e4fd2 · outbound

This paper cites et al.: Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:41.986729Z

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Observation 91775d0c-e6b3-471b-8282-6034f846750f · outbound

This paper cites et al.: Rank-DETR for High Quality Object Detection.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Rank-DETR for High Quality Object Detection

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:41.971830Z

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Observation 0cd487e6-2c40-4a99-ab1b-b3f69e695516 · outbound

This paper cites et al.: Factors influencing long-term city park visitations for mid-sized US cities: A big data study using smartphone user mobility.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Factors influencing long-term city park visitations for mid-sized US cities: A big data study using smartphone user mobility

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:41.955113Z

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Observation 4f8b597e-98e8-48dc-b903-c8dc2a4f5d15 · outbound

This paper cites NeRF-Based defect detection.

LP-DETR: Layer-wise Progressive Relations for Object Detection NeRF-Based defect detection

Reference 35

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Source-reported events for the cited work

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Observation 4723328b-ee5c-431a-bc2e-22dd9b63a00b · outbound

This paper cites et al.: Attention is All You Need.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Attention is All You Need

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:41.864782Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bde896e1-10c9-487a-88ce-7063b9d434b1 · outbound

This paper cites et al.: Deformable DETR: Deformable Transformers for End-to-end Object Detec-tion.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Deformable DETR: Deformable Transformers for End-to-end Object Detec-tion

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:41.459860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e43b21b0-5544-4f10-bb36-2d343da6194b · outbound

This paper cites et al.: Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Ob-ject Detection.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Ob-ject Detection

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:41.833142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7458f14d-b741-49ea-80c0-b57984a0000f · outbound

This paper cites et al.: Cascade-DETR: Delving into High-quality Universal Object Detection.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Cascade-DETR: Delving into High-quality Universal Object Detection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:41.765181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 23d13411-2d3a-47d0-8f71-928d68bb05fa · outbound

This paper cites et al.: DINO: DETR with Improved Denoising Anchor Boxes for End-to-end Object Detection.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: DINO: DETR with Improved Denoising Anchor Boxes for End-to-end Object Detection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:41.685738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d3c95ead-d896-43e7-b1e8-f8e72a0d1bdb · outbound

This paper cites et al.: Dense Distinct Query for End-to-end Object Detection.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Dense Distinct Query for End-to-end Object Detection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:41.668156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe92a7ae-42bd-4375-b2b5-cf55df8f33c1 · outbound

This paper cites et al.: MS-DETR: Efficient DETR Training with Mixed Supervision.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: MS-DETR: Efficient DETR Training with Mixed Supervision

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:41.622096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 181502b7-36e3-4e82-845b-41ba0443c566 · outbound

This paper cites et al.: Transformer-Based Dual Relation Graph for Multi-Label Image Recognition.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Transformer-Based Dual Relation Graph for Multi-Label Image Recognition

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:41.530435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0c984488-af7f-47c4-99ca-253b8b6c75b7 · outbound

This paper cites et al.: Less is More: Focus Attention for Efficient DETR.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: Less is More: Focus Attention for Efficient DETR

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:41.514220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 70eb3ce4-f581-478e-97b7-383cdd6bc8bc · outbound

This paper cites et al.: DETRs with Collaborative Hybrid Assignments Training.

LP-DETR: Layer-wise Progressive Relations for Object Detection et al.: DETRs with Collaborative Hybrid Assignments Training

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:41.313386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a5b8a11b-ba2e-4683-b3b7-01dca3602218 · outbound

This paper cites The results are summarized in Table 1 and Table.

LP-DETR: Layer-wise Progressive Relations for Object Detection The results are summarized in Table 1 and Table

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:08:43.600193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 4e8a2196-928f-4842-99cd-09d5e1b7b9ce · inbound

Predicting Asphalt Pavement Friction Using Texture-Based Image Indicator cites this paper.

Predicting Asphalt Pavement Friction Using Texture-Based Image Indicator LP-DETR: Layer-wise Progressive Relations for Object Detection

Reference 46

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DK-RRT: Deep Koopman RRT for Collision-Aware Motion Planning of Space Manipulators in Dynamic Debris Environments cites this paper.

DK-RRT: Deep Koopman RRT for Collision-Aware Motion Planning of Space Manipulators in Dynamic Debris Environments LP-DETR: Layer-wise Progressive Relations for Object Detection

Reference 20

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