Methods › Computer Vision › Object Detection Models › Sparse R-CNN
Sparse R-CNN
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Sparse R-CNN is a purely sparse method for object detection in images, without object positional candidates enumerating on all(dense) image grids nor object queries interacting with global(dense) image feature.
As shown in the Figure, object candidates are given with a fixed small set of learnable bounding boxes represented by 4-d coordinate. For the example of the COCO dataset, 100 boxes and 400 parameters are needed in total, rather than the predicted ones from hundreds of thousands of candidates in a Region Proposal Network (RPN). These sparse candidates are used as proposal boxes to extract the feature of Region of Interest (RoI) by RoIPool or RoIAlign.
Papers archive 2025-07-28
16 shown of 16, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Sparse R-CNN OBB: Ship Target Detection in SAR Images Based on Oriented Sparse Proposals 12 Sep 2024 · 2 repositories · arXiv:2409.07973
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Enhancing Tree Type Detection in Forest Fire Risk Assessment: Multi-Stage Approach and Color Encoding with Forest Fire Risk Evaluation Framework for UAV Imagery 27 Jul 2024 · 0 repositories · arXiv:2407.19184
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PolyR-CNN: R-CNN for end-to-end polygonal building outline extraction 20 Jul 2024 · 1 repository · arXiv:2407.14912
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Stability Plasticity Decoupled Fine-tuning For Few-shot end-to-end Object Detection 20 Jan 2024 · 0 repositories · arXiv:2401.11140
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M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector 11 Aug 2023 · 0 repositories · arXiv:2308.06420
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RecursiveDet: End-to-End Region-based Recursive Object Detection 25 Jul 2023 · 1 repository · arXiv:2307.13619Syntology ran 5 of 7 samples · 2 unverified
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Semi-Supervised and Long-Tailed Object Detection with CascadeMatch 24 May 2023 · 1 repository · arXiv:2305.14813
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Correlation Loss: Enforcing Correlation between Classification and Localization 3 Jan 2023 · 1 repository · arXiv:2301.01019
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Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection 5 Oct 2022 · 0 repositories · arXiv:2210.02368
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IoU-Enhanced Attention for End-to-End Task Specific Object Detection 21 Sep 2022 · 2 repositories · arXiv:2209.10391
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SRCN3D: Sparse R-CNN 3D for Compact Convolutional Multi-View 3D Object Detection and Tracking 29 Jun 2022 · 2 repositories · arXiv:2206.14451
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Featurized Query R-CNN 13 Jun 2022 · 1 repository · arXiv:2206.06258
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Dynamic Sparse R-CNN 4 May 2022 · 0 repositories · arXiv:2205.02101
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Structured Sparse R-CNN for Direct Scene Graph Generation 21 Jun 2021 · 4 repositories · arXiv:2106.10815Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
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Instances as Queries 5 May 2021 · 5 repositories · arXiv:2105.01928Syntology ran 1 of 3 samples · 2 unverified
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Sparse R-CNN: End-to-End Object Detection with Learnable Proposals 25 Nov 2020 · 6 repositories · arXiv:2011.12450
Tasks archive 2025-07-28
20 shown of 30 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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