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cs.CV2026
Weakly Supervised Segmentation as Semantic-Based Regularization
Stefano Colamonaco, Andrei-Bogdan Florea, Jaron Maene
Weakly supervised semantic segmentation (WSSS) trains dense pixel-level segmentation models from partial or coarse annotations such as bounding boxes, scribbles, or image-level tag…
cs.CV2026★ 1 cited
Neurosymbolic Object-Centric Learning with Distant Supervision
Stefano Colamonaco, David Debot, Giuseppe Marra
Neurosymbolic learning can use symbolic rules to provide supervision for latent concepts from weak labels, but it commonly assumes that the entities referenced by these rules are a…