Meta-Seg: A Generalized Meta-Learning Framework for Multi-Class Few-Shot Semantic Segmentation

Semantic segmentation performs pixel-wise classification for given images, which can be widely used in autonomous driving, robotics, medical diagnostics and etc. The recent advanced approaches have witnessed rapid progress in semantic segmentation. However, these supervised learning based methods re...

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Auteurs principaux: Zhiying Cao, Tengfei Zhang, Wenhui Diao, Yue Zhang, Xiaode Lyu, Kun Fu, Xian Sun
Format: article
Langue:EN
Publié: IEEE 2019
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Accès en ligne:https://doaj.org/article/c733ea5763c84041ba4ff1446090b10c
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