Hui Chen* — 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

PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation

Yizhe Xiong, Hui Chen*, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang +3

ECCV 2024poster

"Recently, the scale of transformers has grown rapidly, which introduces considerable challenges in terms of training overhead and inference efficiency in the scope of task adaptation. Existing works, namely Parameter-Efficient Fine-Tuning (PEFT) and model compression, have separately investigated t…

Cited by 14 Source ↗PDF ↗code ↗Scholar ↗