DCAM: Disturbed class activation maps for weakly supervised semantic segmentation

Jie Lei; Guo‐Yu Yang; Shuaiwei Wang; Zunlei Feng; Ronghua Liang

doi:10.1016/j.jvcir.2023.103852

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DCAM: Disturbed class activation maps for weakly supervised semantic segmentation

Jie Lei Guo‐Yu Yang Shuaiwei Wang Zunlei Feng Ronghua Liang

Year: 2023 Journal: Journal of Visual Communication and Image Representation Vol: 94 Pages: 103852-103852 Publisher: Elsevier BV

DOI: 10.1016/j.jvcir.2023.103852

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Keywords:

Softmax function Computer science Pascal (unit) Segmentation Artificial intelligence Pattern recognition (psychology) Cross entropy Convolutional neural network Entropy (arrow of time) Feature (linguistics) Binary number Mathematics Arithmetic

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Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

DCAM: Disturbed class activation maps for weakly supervised semantic segmentation

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