Methods › Computer Vision › Instance Segmentation Models › CondInst
Conditional Convolutions for Instance Segmentation
CondInst
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
CondInst is a simple yet effective instance segmentation framework. It eliminates ROI cropping and feature alignment with the instance-aware mask heads. As a result, CondInst can solve instance segmentation with fully convolutional networks. CondInst is able to produce high-resolution instance masks without longer computational time. Extensive experiments show that CondInst can achieve even better performance and inference speed than Mask R-CNN. It can be a strong alternative to previous ROI-based instance segmentation methods. Code is at https://github.com/aim-uofa/AdelaiDet.
Papers archive 2025-07-28
5 shown of 5, 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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Learning Equivariant Segmentation with Instance-Unique Querying 3 Oct 2022 · 1 repository · arXiv:2210.00911
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One-stage Video Instance Segmentation: From Frame-in Frame-out to Clip-in Clip-out 12 Mar 2022 · 0 repositories · arXiv:2203.06421
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STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation 8 Feb 2022 · 0 repositories · arXiv:2202.03747
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Instance and Panoptic Segmentation Using Conditional Convolutions 5 Feb 2021 · 0 repositories · arXiv:2102.03026
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Conditional Convolutions for Instance Segmentation 12 Mar 2020 · 7 repositories · arXiv:2003.05664Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
Tasks archive 2025-07-28
6 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Instance Segmentation | 5 |
| Semantic Segmentation | 5 |
| Segmentation | 3 |
| Video Instance Segmentation | 2 |
| Contrastive Learning | 1 |
| Panoptic Segmentation | 1 |
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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