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Bohai Tu

2 accepted papers

2024

Efficient Active Domain Adaptation for Semantic Segmentation by Selecting Information-rich Superpixels

ECCV 2024oral

"Unsupervised Domain Adaptation (UDA) for semantic segmentation has been widely studied to exploit the label-rich source data to assist the segmentation of unlabeled samples on target domain. Despite these efforts, UDA performance remains far below that of fully-supervised model owing to the lack of…

2023

Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation

CVPR 2023poster

The existing weakly supervised semantic segmentation (WSSS) methods pay much attention to generating accurate and complete class activation maps (CAMs) as pseudo-labels, while ignoring the importance of training the segmentation networks. In this work, we observe that there is an inconsistency betwe…