A convergent soft self-labeling framework with new Potts relaxations and a collision cross-entropy achieves state-of-the-art scribble-based semantic segmentation on standard architectures.
Single-stage seman- tic segmentation from image labels
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Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation
A convergent soft self-labeling framework with new Potts relaxations and a collision cross-entropy achieves state-of-the-art scribble-based semantic segmentation on standard architectures.