Attention Mechanisms
Class Activation Guided Attention Mechanism (CAGAM)
Introduced by Nwoye et al. in Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic VideosCAGAM 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).
Source: Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Out-of-Distribution Detection | 1 | 33.33% |
| Out of Distribution (OOD) Detection | 1 | 33.33% |
| Action Triplet Recognition | 1 | 33.33% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
