Methods › Computer Vision › Semantic Segmentation Models › CascadePSP
CascadePSP
Introduced by Ho Kei Cheng et al. in CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
CascadePSP is a general segmentation refinement model that refines any given segmentation from low to high resolution. The model takes as input an initial mask that can be an output of any algorithm to provide a rough object location. Then the CascadePSP will output a refined mask. The model is designed in a cascade fashion that generates refined segmentation in a coarse-to-fine manner. Coarse outputs from the early levels predict object structure which will be used as input to the latter levels to refine boundary details.
Papers archive 2025-07-28
2 shown of 2, 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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3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPW 4 Jun 2023 · 1 repository · arXiv:2306.02291
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CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement 6 May 2020 · 2 repositories · arXiv:2005.02551Syntology ran 2 of 7 samples · 5 unverified
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 |
|---|---|
| Segmentation | 2 |
| Semantic Segmentation | 2 |
| 4k | 1 |
| Land Cover Classification | 1 |
| Position | 1 |
| Scene Parsing | 1 |
| Video Semantic 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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