3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 3 cited
Cross-view Graph Contrastive Representation Learning on Partially Aligned Multi-view Data
Yiming Wang, Dongxia Chang, Zhiqiang Fu +2
Multi-view representation learning has developed rapidly over the past decades and has been applied in many fields. However, most previous works assumed that each view is complete…
cs.CV2022★ 3 cited
ACTIVE:Augmentation-Free Graph Contrastive Learning for Partial Multi-View Clustering
Yiming Wang, Dongxia Chang, Zhiqiang Fu +2
In this paper, we propose an augmentation-free graph contrastive learning framework, namely ACTIVE, to solve the problem of partial multi-view clustering. Notably, we suppose that…
cs.CV2020
Vehicle Re-identification Based on Dual Distance Center Loss
Zhijun Hu, Yong Xu, Jie Wen +2
Recently, deep learning has been widely used in the field of vehicle re-identification. When training a deep model, softmax loss is usually used as a supervision tool. However, the…