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Marco Schaerf

1 accepted papers

2022

Max Pooling with Vision Transformers Reconciles Class and Shape in Weakly Supervised Semantic Segmentation

ECCV 2022poster

"Weakly Supervised Semantic Segmentation (WSSS) research has explored many directions to improve the typical pipeline CNN plus class activation maps (CAM) plus refinements, given the image-class label as the only supervision. Though the gap with the fully supervised methods is reduced, further abati…