Search Results for author:
Found 2 papers, 1 papers with code
Exploiting Shape Cues for Weakly Supervised Semantic Segmentation
To this end, previous methods adopt the common pipeline: they generate pseudo masks from class activation maps (CAMs) and use such masks to supervise segmentation networks.
In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization
Furthermore, we propose foreground consistency loss that penalizes earlier layers producing noisy attention regarding the later layer as a reference to provide them with a sense of backgroundness.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
