Methods › Computer Vision › Image Model Blocks › Effective Squeeze-and-Excitation Block
Effective Squeeze-and-Excitation Block
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Effective Squeeze-and-Excitation Block is an image model block based on squeeze-and-excitation, the difference being that one less FC layer is used. The authors note the SE module has a limitation: channel information loss due to dimension reduction. For avoiding high model complexity burden, two FC layers of the SE module need to reduce channel dimension. Specifically, while the first FC layer reduces input feature channels C to C/r using reduction ratio r, the second FC layer expands the reduced channels to original channel size C. As a result, this channel dimension reduction causes channel information loss. Therefore, effective SE (eSE) uses only one FC layer with C channels instead of two FCs without channel dimension reduction, which maintains channel information.
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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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
8 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
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