Methods › General › Attention Mechanisms › Class Activation Guided Attention Mechanism
Class Activation Guided Attention Mechanism (CAGAM)
Class Activation Guided Attention Mechanism
Introduced by Chinedu Innocent Nwoye et al. in Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
CAGAM is a form of spatial attention mechanism that propagates attention from a known to an unknown context features thereby enhancing the unknown context for relevant pattern discovery. Usually the known context feature is a class activation map (CAM).
Papers archive 2025-07-28
2 shown of 2, 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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Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection 26 Dec 2022 · 1 repository · arXiv:2301.13012
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Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos 7 Sep 2021 · 8 repositories · arXiv:2109.03223
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 |
|---|---|
| Action Triplet Recognition | 1 |
| Out of Distribution (OOD) Detection | 1 |
| Out-of-Distribution Detection | 1 |
| Triplet | 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
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