Guiguang Ding* — accepted AI-conference papers

2024

Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence

Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen*, Zijia Lin, Jungong Han +1

ECCV 2024poster

"Domain Adaptation (DA) facilitates knowledge transfer from a source domain to a related target domain. This paper investigates a practical DA paradigm, namely Source data-Free Active Domain Adaptation (SFADA), where source data becomes inaccessible during adaptation, and a minimum amount of annotat…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗

2024

Quantized Prompt for Efficient Generalization of Vision-Language Models

Tianxiang Hao, Xiaohan Ding*, Juexiao Feng, Yuhong Yang, Hui Chen, Guiguang Ding*

ECCV 2024poster

"In the past few years, large-scale pre-trained vision-language models like CLIP have achieved tremendous success in various fields. Naturally, how to transfer the rich knowledge in such huge pre-trained models to downstream tasks and datasets becomes a hot topic. During downstream adaptation, the m…

Cited by 10 Source ↗PDF ↗code ↗Scholar ↗