most citedLEAD: Learning Decomposition for Source-free Universal Domain Adaptation

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cs.CV2024

HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation

Tianpei Zou, Sanqing Qu, Zhijun Li +4

3D point cloud segmentation has received significant interest for its growing applications. However, the generalization ability of models suffers in dynamic scenarios due to the di…

cs.CV2024

MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection

Boyang Peng, Sanqing Qu, Yong Wu +5

Deep learning has achieved remarkable progress in various applications, heightening the importance of safeguarding the intellectual property (IP) of well-trained models. It entails…

cs.CV2024★ 1 cited

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation

Sanqing Qu, Tianpei Zou, Lianghua He +4

Universal Domain Adaptation (UniDA) targets knowledge transfer in the presence of both covariate and label shifts. Recently, Source-free Universal Domain Adaptation (SF-UniDA) has…