LayerCAM: Exploring Hierarchical Class Activation Maps for Localization

The class activation maps are generated from the final convolutional layer of CNN. They can highlight discriminative object regions for the class of interest. These discovered object regions have been widely used for weakly-supervised tasks. However, due to the small spatial resolution of the final...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 30; S. 5875 - 5888
Hauptverfasser:	Jiang, Peng-Tao, Zhang, Chang-Bin, Hou, Qibin, Cheng, Ming-Ming, Wei, Yunchao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	class activation maps Convolution Feature maps Image segmentation Localization Location awareness Pixels Reliability Semantic segmentation Semantics Spatial resolution Task analysis Weakly-supervised object localization
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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