Methods › General › Feature Matching › MaskFlownet
MaskFlownet
Introduced by Shengyu Zhao et al. in MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
MaskFlownet is an asymmetric occlusion-aware feature matching module, which can learn a rough occlusion mask that filters useless (occluded) areas immediately after feature warping without any explicit supervision. The learned occlusion mask can be further fed into a subsequent network cascade with dual feature pyramids.
Papers archive 2025-07-28
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MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask 24 Mar 2020 · 3 repositories · arXiv:2003.10955Syntology ran 0 of 11 samples · 11 unverified
Tasks archive 2025-07-28
1 task 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 |
|---|---|
| Optical Flow Estimation | 1 |
Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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