21 citations · 22 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 21 cited
Transformer-Based Source-Free Domain Adaptation
Guanglei Yang, Hao Tang, Zhun Zhong +4
In this paper, we study the task of source-free domain adaptation (SFDA), where the source data are not available during target adaptation. Previous works on SFDA mainly focus on a…
cs.CV2021
Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction
Guanglei Yang, Hao Tang, Mingli Ding +2
While convolutional neural networks have shown a tremendous impact on various computer vision tasks, they generally demonstrate limitations in explicitly modeling long-range depend…
cs.CV2020★ 1 cited
Bi-Directional Generation for Unsupervised Domain Adaptation
Guanglei Yang, Haifeng Xia, Mingli Ding +1
Unsupervised domain adaptation facilitates the unlabeled target domain relying on well-established source domain information. The conventional methods forcefully reducing the domai…