Training a before/after classifier with a temporal reconstruction loss on motion-compensated saliency maps improves weakly supervised video segmentation of waste on a conveyor belt.
In: Proceedings of the IEEE conference on computer vision and pattern recognition
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Temporal-consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting
Training a before/after classifier with a temporal reconstruction loss on motion-compensated saliency maps improves weakly supervised video segmentation of waste on a conveyor belt.