Methods › Computer Vision › Instance Segmentation Models › CenterMask
CenterMask
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
CenterMask is an anchor-free instance segmentation method that adds a novel spatial attention-guided mask (SAG-Mask) branch to anchor-free one stage object detector (FCOS) in the same vein with Mask R-CNN. Plugged into the FCOS object detector, the SAG-Mask branch predicts a segmentation mask on each detected box with the spatial attention map that helps to focus on informative pixels and suppress noise.
Papers archive 2025-07-28
4 shown of 4, 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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Polite Teacher: Semi-Supervised Instance Segmentation with Mutual Learning and Pseudo-Label Thresholding 7 Nov 2022 · 0 repositories · arXiv:2211.03850
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Intelligent detect for substation insulator defects based on CenterMask 31 Aug 2022 · 0 repositories · arXiv:2208.14598
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CenterMask: single shot instance segmentation with point representation 9 Apr 2020 · 0 repositories · arXiv:2004.04446
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CenterMask : Real-Time Anchor-Free Instance Segmentation 15 Nov 2019 · 8 repositories · arXiv:1911.06667Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
Tasks archive 2025-07-28
11 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
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections