76 citations · 80 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Exploring Model Transferability through the Lens of Potential Energy
Xiaotong Li, Zixuan Hu, Yixiao Ge +2
Transfer learning has become crucial in computer vision tasks due to the vast availability of pre-trained deep learning models. However, selecting the optimal pre-trained model fro…
cs.CV2023★ 4 cited
Modeling Uncertain Feature Representation for Domain Generalization
Xiaotong Li, Zixuan Hu, Jun Liu +3
Though deep neural networks have achieved impressive success on various vision tasks, obvious performance degradation still exists when models are tested in out-of-distribution sce…
eess.IV2021★ 76 cited
Towards Low Light Enhancement with RAW Images
Haofeng Huang, Wenhan Yang, Yueyu Hu +2
In this paper, we make the first benchmark effort to elaborate on the superiority of using RAW images in the low light enhancement and develop a novel alternative route to utilize…