Methods › Computer Vision › Image Model Blocks › Style-based Recalibration Module
Style-based Recalibration Module
Introduced by HyunJae Lee et al. in SRM : A Style-based Recalibration Module for Convolutional Neural Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A Style-based Recalibration Module (SRM) is a module for convolutional neural networks that adaptively recalibrates intermediate feature maps by exploiting their styles. SRM first extracts the style information from each channel of the feature maps by style pooling, then estimates per-channel recalibration weight via channel-independent style integration. By incorporating the relative importance of individual styles into feature maps, SRM is aimed at enhancing the representational ability of a CNN.
The overall structure of SRM is illustrated in the Figure to the right. It consists of two main components: style pooling and style integration. The style pooling operator extracts style features from each channel by summarizing feature responses across spatial dimensions. It is followed by the style integration operator, which produces example-specific style weights by utilizing the style features via channel-wise operation. The style weights finally recalibrate the feature maps to either emphasize or suppress their information.
Papers archive 2025-07-28
3 shown of 3, 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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Remote Sensing Image Translation via Style-Based Recalibration Module and Improved Style Discriminator 29 Mar 2021 · 1 repository · arXiv:2103.15502
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SRM: A Style-Based Recalibration Module for Convolutional Neural Networks 1 Oct 2019 · 0 repositories
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SRM : A Style-based Recalibration Module for Convolutional Neural Networks 26 Mar 2019 · 1 repository · arXiv:1903.10829Syntology ran 3 of 3 samples · 0 unverified · 2 pointer-only (licence)
Tasks archive 2025-07-28
4 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 |
|---|---|
| Style Transfer | 2 |
| Change Detection | 1 |
| Image Classification | 1 |
| Translation | 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
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections