7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation
Yinsong Xu, Aidong Men, Yang Liu +2
In deep learning, initializing models with pre-trained weights has become the de facto practice for various downstream tasks. Many unsupervised domain adaptation (UDA) methods typi…
cs.CV2022★ 7 cited
Delving into the Continuous Domain Adaptation
Yinsong Xu, Zhuqing Jiang, Aidong Men +2
Existing domain adaptation methods assume that domain discrepancies are caused by a few discrete attributes and variations, e.g., art, real, painting, quickdraw, etc. We argue that…
cs.CV2022★ 3 cited
Seeing your sleep stage: cross-modal distillation from EEG to infrared video
Jianan Han, Shaoxing Zhang, Aidong Men +4
It is inevitably crucial to classify sleep stage for the diagnosis of various diseases. However, existing automated diagnosis methods mostly adopt the "gold-standard" lectroencepha…