CRAFT: Concept Recursive Activation FacTorization for Explainability

Attribution methods, which employ heatmaps to identify the most influential regions of an image that impact model decisions, have gained widespread popularity as a type of explainability method. However, recent research has exposed the limited practical value of these methods, attributed in part to...

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Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) Jg. 2023; S. 2711 - 2721
Hauptverfasser:	Fel, Thomas, Picard, Agustin, Bethune, Louis, Boissin, Thibaut, Vigouroux, David, Colin, Julien, Cadenc, Remi, Serre, Thomas
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.06.2023
Schlagworte:	Benchmark testing Computational modeling Computer vision Decision making Estimation Explainable computer vision Heating systems Pattern recognition
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
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