27 citations · 61 across the 6 of their papers we have counts for
6 papers
Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment
Chao Chen, Zhihong Chen, Xinyu Jin +3
Bone age assessment (BAA) is clinically important as it can be used to diagnose endocrine and metabolic disorders during child development. Existing deep learning based methods for…
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
Chao Chen, Zhihang Fu, Zhihong Chen +4
Minimizing the discrepancy of feature distributions between different domains is one of the most promising directions in unsupervised domain adaptation. From the perspective of dis…
Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation
Zhihong Chen, Chao Chen, Zhaowei Cheng +3
One crucial aspect of partial domain adaptation (PDA) is how to select the relevant source samples in the shared classes for knowledge transfer. Previous PDA methods tackle this pr…
Towards Self-similarity Consistency and Feature Discrimination for Unsupervised Domain Adaptation
Chao Chen, Zhihang Fu, Zhihong Chen +3
Recent advances in unsupervised domain adaptation mainly focus on learning shared representations by global distribution alignment without considering class information across doma…
Parameter Transfer Extreme Learning Machine based on Projective Model
Chao Chen, Boyuan Jiang, Xinyu Jin
Recent years, transfer learning has attracted much attention in the community of machine learning. In this paper, we mainly focus on the tasks of parameter transfer under the frame…
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
Chao Chen, Zhihong Chen, Boyuan Jiang +1
Recently, considerable effort has been devoted to deep domain adaptation in computer vision and machine learning communities. However, most of existing work only concentrates on le…