2 papers
cs.CV2025
WS: Weakly Supervised Segmentation using Before-After Supervision in Waste Sorting
Andrea Marelli, Alberto Foresti, Leonardo Pesce +2
In industrial quality control, to visually recognize unwanted items within a moving heterogeneous stream, human operators are often still indispensable. Waste-sorting stands as a s…
cs.CV2025
Temporal-consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting
Andrea Marelli, Luca Magri, Federica Arrigoni +1
In industrial settings, weakly supervised (WS) methods are usually preferred over their fully supervised (FS) counterparts as they do not require costly manual annotations. Unfortu…