Before-after supervision from human removal actions can train a segmentation model for unwanted-object detection in waste sorting, and the authors release an 11,060-frame dataset to benchmark this setting.
Grad-cam++: General- ized gradient-based visual explanations for deep convolu- tional networks
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WS$^2$: Weakly Supervised Segmentation using Before-After Supervision in Waste Sorting
Before-after supervision from human removal actions can train a segmentation model for unwanted-object detection in waste sorting, and the authors release an 11,060-frame dataset to benchmark this setting.