Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation
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DOI: 10.1109/tip.2023.3275913
Abstract: Weakly supervised semantic segmentation (WSSS) models relying on class activation maps (CAMs) have achieved desirable performance comparing to the non-CAMs-based counterparts. However, to guarantee WSSS task feasible, we need to generate pseudo labels by expanding… read more here.
Keywords: bidirectional alignment; weakly supervised; class; segmentation ... See more keywords