Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation

arXiv:2403.01156v1 Announce Type: new
Abstract: Most existing weakly supervised semantic segmentation (WSSS) methods rely on Class Activation Mapping (CAM) to extract coarse class-specific localization maps using image-level labels. Prior works have commonly used an off-line heuristic thresholding process that combines the CAM maps with off-the-shelf saliency maps produced by a general pre-trained saliency model to produce more accurate pseudo-segmentation labels. We propose AuxSegNet+, a weakly supervised auxiliary learning framework to explore the rich information from these saliency maps and the …

abstract arxiv class cs.cv extract image labels line localization mapping maps prior process segmentation semantic tasks thresholding type