Weakly supervised semantic segmentation via saliency perception with uncertainty-guided noise suppression

Computer Science

• Weakly-Supervised Semantic Segmentation 100%
• Class Activation Mapping 100%
• Noise Suppression 100%
• Classification Models 66%
• Attention (Machine Learning) 33%
• Segmentation Approach 33%
• classification result 33%
• Experimental Result 33%
• Uncertainty Estimation 33%
• Supervised Classification 33%
• Receptive Field 33%