123 citations · 428 across the 18 of their papers we have counts for
9 papers · 1 filter
Adaptive Texture Filtering for Single-Domain Generalized Segmentation
Xinhui Li, Mingjia Li, Yaxing Wang +2
Domain generalization in semantic segmentation aims to alleviate the performance degradation on unseen domains through learning domain-invariant features. Existing methods diversif…
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation
Yong-Hui Liu, Chuan-Xian Ren, Xiao-Lin Xu +1
Unsupervised domain adaptation (UDA) is one of the prominent tasks of transfer learning, and it provides an effective approach to mitigate the distribution shift between the labele…
Towards Unsupervised Domain Adaptation via Domain-Transformer
Ren Chuan-Xian, Zhai Yi-Ming, Luo You-Wei +1
As a vital problem in pattern analysis and machine intelligence, Unsupervised Domain Adaptation (UDA) attempts to transfer an effective feature learner from a labeled source domain…
Learning Target Domain Specific Classifier for Partial Domain Adaptation
Chuan-Xian Ren, Pengfei Ge, Peiyi Yang +1
Unsupervised domain adaptation~(UDA) aims at reducing the distribution discrepancy when transferring knowledge from a labeled source domain to an unlabeled target domain. Previous…
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification
Chuan-Xian Ren, Pengfei Ge, Dao-Qing Dai +1
Conditional Maximum Mean Discrepancy (CMMD) can capture the discrepancy between conditional distributions by drawing support from nonlinear kernel functions, thus it has been succe…
Dual Adversarial Auto-Encoders for Clustering
Pengfei Ge, Chuan-Xian Ren, Jiashi Feng +1
As a powerful approach for exploratory data analysis, unsupervised clustering is a fundamental task in computer vision and pattern recognition. Many clustering algorithms have been…
Discriminative Residual Analysis for Image Set Classification with Posture and Age Variations
Chuan-Xian Ren, You-Wei Luo, Xiao-Lin Xu +2
Image set recognition has been widely applied in many practical problems like real-time video retrieval and image caption tasks. Due to its superior performance, it has grown into…
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network
Pengfei Ge, Chuan-Xian Ren, Dao-Qing Dai +1
Unsupervised domain adaptation aims to generalize the supervised model trained on a source domain to an unlabeled target domain. Marginal distribution alignment of feature spaces i…
Domain Adaptive Person Re-Identification via Camera Style Generation and Label Propagation
Chuan-Xian Ren, Bo-Hua Liang, Zhen Lei
Unsupervised domain adaptation in person re-identification resorts to labeled source data to promote the model training on target domain, facing the dilemmas caused by large domain…