5 citations · 9 across the 3 of their papers we have counts for
6 papers
Towards Novel Target Discovery Through Open-Set Domain Adaptation
Taotao Jing, Hongfu Liu, Zhengming Ding
Open-set domain adaptation (OSDA) considers that the target domain contains samples from novel categories unobserved in external source domain. Unfortunately, existing OSDA methods…
Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation
Taotao Jing, Bingrong Xu, Jingjing Li +1
Domain adaptation (DA) becomes an up-and-coming technique to address the insufficient or no annotation issue by exploiting external source knowledge. Existing DA algorithms mainly…
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation
Taotao Jing, Zhengming Ding
Unsupervised Domain adaptation (UDA) attempts to recognize the unlabeled target samples by building a learning model from a differently-distributed labeled source domain. Conventio…
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation
Taotao Jing, Haifeng Xia, Zhengming Ding
Partial domain adaptation (PDA) attracts appealing attention as it deals with a realistic and challenging problem when the source domain label space substitutes the target domain.…
Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation
Taotao Jing, Ming Shao, Zhengming Ding
Partial domain adaptation aims to adapt knowledge from a larger and more diverse source domain to a smaller target domain with less number of classes, which has attracted appealing…
EV-Action: Electromyography-Vision Multi-Modal Action Dataset
Lichen Wang, Bin Sun, Joseph Robinson +2
Multi-modal human action analysis is a critical and attractive research topic. However, the majority of the existing datasets only provide visual modalities (i.e., RGB, depth and s…