Pairwise-Pixel Self-Supervised and Superpixel-Guided Prototype Contrastive Loss for Weakly Supervised Semantic Segmentation

Lu Xie; Weigang Li; Yuntao Zhao

doi:10.1007/s12559-024-10277-1

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Pairwise-Pixel Self-Supervised and Superpixel-Guided Prototype Contrastive Loss for Weakly Supervised Semantic Segmentation

Lu Xie Weigang Li Yuntao Zhao

Year: 2024 Journal: Cognitive Computation Vol: 16 (3)Pages: 936-948 Publisher: Springer Science+Business Media

DOI: 10.1007/s12559-024-10277-1

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Keywords:

Artificial intelligence Computer science Segmentation Pascal (unit) Pattern recognition (psychology) Pairwise comparison Pixel Test set Class (philosophy) Machine learning

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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

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Pairwise-Pixel Self-Supervised and Superpixel-Guided Prototype Contrastive Loss for Weakly Supervised Semantic Segmentation

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Citation History

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