Methods › Computer Vision › Instance Segmentation Modules › PolarMask
PolarMask
Introduced by Enze Xie et al. in PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
PolarMask is an anchor-box free and single-shot instance segmentation method. Specifically, PolarMask takes an image as input and predicts the distance from a sampled positive location (ie a candidate object's center) with respect to the object's contour at each angle, and then assembles the predicted points to produce the final mask. There are several benefits to the system: (1) The polar representation unifies instance segmentation (masks) and object detection (bounding boxes) into a single framework (2) Two modules are designed (i.e. soft polar centerness and polar IoU loss) to sample high-quality center examples and optimize polar contour regression, making the performance of PolarMask does not depend on the bounding box prediction results and more efficient in training. (3) PolarMask is fully convolutional and can be embedded into most off-the-shelf detection methods.
Papers archive 2025-07-28
3 shown of 3, 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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MP-PolarMask: A Faster and Finer Instance Segmentation for Concave Images 3 Jun 2024 · 0 repositories · arXiv:2406.01356
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Applying Eigencontours to PolarMask-Based Instance Segmentation 24 Aug 2022 · 1 repository · arXiv:2208.11258
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PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond 5 May 2021 · 1 repository · arXiv:2105.02184
Tasks archive 2025-07-28
7 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 | 3 |
| Semantic Segmentation | 3 |
| Segmentation | 2 |
| Cell Segmentation | 1 |
| Object Detection | 1 |
| Text Detection | 1 |
| object-detection | 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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