Methods › General › Normalization › Attentive Normalization
Attentive Normalization
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Attentive Normalization generalizes the common affine transformation component in the vanilla feature normalization. Instead of learning a single affine transformation, AN learns a mixture of affine transformations and utilizes their weighted-sum as the final affine transformation applied to re-calibrate features in an instance-specific way. The weights are learned by leveraging feature attention.
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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AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer 8 Aug 2021 · 3 repositories · arXiv:2108.03647Syntology ran 5 of 5 samples · 0 unverified · 4 pointer-only (licence)
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Attentive Normalization for Conditional Image Generation 8 Apr 2020 · 1 repository · arXiv:2004.03828Syntology ran 0 of 6 samples · 6 unverified
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Attentive Normalization 4 Aug 2019 · 2 repositories · arXiv:1908.01259
Tasks archive 2025-07-28
12 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
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