Methods › Computer Vision › Instance Segmentation Modules › Implicit PointRend
Implicit PointRend
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Implicit PointRend is a modification to the PointRend module for instance segmentation. Instead of a coarse mask prediction used in PointRend to provide region-level context to distinguish objects, for each object Implicit PointRend generates different parameters for a function that makes the final pointwise mask prediction. The new model is more straightforward than PointRend: (1) it does not require an importance point sampling during training and (2) it uses a single point-level mask loss instead of two mask losses. Implicit PointRend can be trained directly with point supervision without any intermediate prediction interpolation steps.
Papers archive 2025-07-28
1 shown of 1, 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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Pointly-Supervised Instance Segmentation 13 Apr 2021 · 3 repositories · arXiv:2104.06404
Tasks archive 2025-07-28
5 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 | 1 |
| Object | 1 |
| Segmentation | 1 |
| Semantic Segmentation | 1 |
| Weakly-supervised instance 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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