Methods › Computer Vision › Image Model Blocks › OSA (identity mapping + eSE)
OSA (identity mapping + eSE)
Introduced by Youngwan Lee et al. in CenterMask : Real-Time Anchor-Free Instance Segmentation
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
One-Shot Aggregation with an Identity Mapping and eSE is an image model block that extends one-shot aggregation with a residual connection and effective squeeze-and-excitation block. It is proposed as part of the VoVNetV2 CNN architecture.
The module adds an identity mapping to the OSA module - the input path is connected to the end of an OSA module that is able to backpropagate the gradients of every OSA module in an end-to-end manner on each stage like a ResNet. Additionally, a channel attention module - effective Squeeze-Excitation - is used which is like regular squeeze-and-excitation but uses only one FC layer with C channels instead of two FCs without a channel dimension reduction, which maintains channel information.
Papers archive 2025-07-28
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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
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Categories archive 2025-07-28
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