Class Activation Guided Attention Mechanism

Class Activation Guided Attention Mechanism (CAGAM)

GeneralIntroduced 20002 papers
Source Paper

Description

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 Using This Method

Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection2022-12-26Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos2021-09-07