13 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification
Jiabao Wang, Yang Li, Xiu-Shen Wei +3
Unsupervised learning technology has caught up with or even surpassed supervised learning technology in general object classification (GOC) and person re-identification (re-ID). Ho…
cs.CV2020★ 7 cited
Grafted network for person re-identification
Jiabao Wang, Yang Li, Shanshan Jiao +2
Convolutional neural networks have shown outstanding effectiveness in person re-identification (re-ID). However, the models always have large number of parameters and much computat…
cs.CV2020★ 13 cited
A heterogeneous branch and multi-level classification network for person re-identification
Jiabao Wang, Yang Li, Yangshuo Zhang +2
Convolutional neural networks with multiple branches have recently been proved highly effective in person re-identification (re-ID). Researchers design multi-branch networks using…