GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning

2 code implementations • 21 Mar 2024 • Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, DaCheng Tao, Changjun Jiang

GLC++ enhances the novel category clustering accuracy of GLC by 4. 3% in open-set scenarios on Office-Home.

Clustering Contrastive Learning +2

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

1 code implementation • 7 Mar 2024 • Boyang Peng, Sanqing Qu, Yong Wu, Tianpei Zou, Lianghua He, Alois Knoll, Guang Chen, Changjun Jiang

In this paper, we target a practical setting where only a well-trained source model is available and investigate how we can realize IP protection.

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation

2 code implementations • 6 Mar 2024 • Sanqing Qu, Tianpei Zou, Lianghua He, Florian Röhrbein, Alois Knoll, Guang Chen, Changjun Jiang

Besides, LEAD is also appealing in that it is complementary to most existing methods.

Transfer Learning Universal Domain Adaptation

Upcycling Models under Domain and Category Shift

3 code implementations • CVPR 2023 • Sanqing Qu, Tianpei Zou, Florian Roehrbein, Cewu Lu, Guang Chen, DaCheng Tao, Changjun Jiang

We examine the superiority of our GLC on multiple benchmarks with different category shift scenarios, including partial-set, open-set, and open-partial-set DA.

Clustering Source-Free Domain Adaptation +2

MoNet: Motion-based Point Cloud Prediction Network

no code implementations • 21 Nov 2020 • Fan Lu, Guang Chen, Yinlong Liu, Zhijun Li, Sanqing Qu, Tianpei Zou

3D point clouds accurately model 3D information of surrounding environment and are crucial for intelligent vehicles to perceive the scene.

Autonomous Driving