Cluster-CAM: Cluster-weighted visual interpretation of CNNs’ decision in image classification

Despite the tremendous success of convolutional neural networks (CNNs) in computer vision, the mechanism of CNNs still lacks clear interpretation. Currently, class activation mapping (CAM), a famous visualization technique to interpret CNN’s decision, has drawn increasing attention. Gradient-based C...

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Veröffentlicht in:	Neural networks Jg. 178; S. 106473
Hauptverfasser:	Feng, Zhenpeng, Ji, Hongbing, Daković, Miloš, Cui, Xiyang, Zhu, Mingzhe, Stanković, Ljubiša
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.10.2024
Schlagworte:	Class activation mapping Clustering algorithm Explainable artificial intelligence Image classification Explainable artificial intelligence Clustering algorithm Class activation mapping Image classification
ISSN:	0893-6080, 1879-2782, 1879-2782
Online-Zugang:	Volltext
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