no code implementations • CVPR 2023 • You-Wei Luo, Chuan-Xian Ren
A novel masked OT (MOT) methodology on conditional distributions is proposed by defining a mask operation with label information.
no code implementations • 7 Mar 2022 • Yi-Ming Zhai, You-Wei Luo
Unsupervised domain adaptation studies how to transfer a learner from a labeled source domain to an unlabeled target domain with different distributions.
no code implementations • 26 Feb 2022 • You-Wei Luo, Chuan-Xian Ren
As a fundamental problem in machine learning, dataset shift induces a paradigm to learn and transfer knowledge under changing environment.
no code implementations • CVPR 2021 • You-Wei Luo, Chuan-Xian Ren
A conditional distribution matching network is proposed to learn the conditional invariant and discriminative features for UDA.
1 code implementation • 23 Aug 2020 • Chuan-Xian Ren, You-Wei Luo, Xiao-Lin Xu, Dao-Qing Dai, Hong Yan
Consequently, the crucial point of image set recognition is to mine the intrinsic connection or structural information from the image batches with variations.
no code implementations • 23 Aug 2020 • You-Wei Luo, Chuan-Xian Ren, Dao-Qing Dai, Hong Yan
Second, batch-wise training of deep learning limits the characterization of the global structure.
no code implementations • 20 Feb 2020 • You-Wei Luo, Chuan-Xian Ren, PengFei Ge, Ke-Kun Huang, Yu-Feng Yu
Second, the batch-wise training manner in deep learning limits the description of the global structure.