no code implementations • 25 Sep 2019 • Tianyuan Yu, Yongxin Yang, Da Li, Timothy Hospedales, Tao Xiang
Stochastic neural networks (SNNs) are currently topical, with several paradigms being actively investigated including dropout, Bayesian neural networks, variational information bottleneck (VIB) and noise regularized learning.
1 code implementation • ICCV 2019 • Tianyuan Yu, Da Li, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
We aim to learn deep person re-identification (ReID) models that are robust against noisy training data.
no code implementations • 13 Dec 2021 • Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang
This is because they use an instance GNN as a label propagation/classification module, which is jointly meta-learned with a feature embedding network.