4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Removing supervision in semantic segmentation with local-global matching and area balancing
Simone Rossetti, Nico Samà, Fiora Pirri
Removing supervision in semantic segmentation is still tricky. Current approaches can deal with common categorical patterns yet resort to multi-stage architectures. We design a nov…
cs.CV2022★ 4 cited
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation
Simone Rossetti, Damiano Zappia, Marta Sanzari +2
Weakly Supervised Semantic Segmentation (WSSS) research has explored many directions to improve the typical pipeline CNN plus class activation maps (CAM) plus refinements, given th…