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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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Bibliografski detalji
Glavni autori: Haruya Ishikawa, Yoshimitsu Aoki
Format: Artigo
Jezik:Inglês
Izdano: IEEE 2025-01-01
Serija:IEEE Access
Teme:
Online pristup:https://ieeexplore.ieee.org/document/11192283/
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