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BoundMatch: Boundary Detection Applied to Semi-Supervised Segmentation

Semi-supervised semantic segmentation (SS-SS) aims to mitigate the heavy annotation burden of dense pixel labeling by leveraging abundant unlabeled images alongside a small labeled set. While current consistency regularization methods achieve strong results, most do not explicitly model boundaries a...

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Haruya Ishikawa, Yoshimitsu Aoki
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: IEEE 2025-01-01
Saila:IEEE Access
Gaiak:
Sarrera elektronikoa:https://ieeexplore.ieee.org/document/11192283/
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