1 code implementation • 30 Apr 2024 • Hang Du, Sicheng Zhang, Binzhu Xie, Guoshun Nan, Jiayang Zhang, Junrui Xu, Hangyu Liu, Sicong Leng, Jiangming Liu, Hehe Fan, Dajiu Huang, Jing Feng, Linli Chen, Can Zhang, Xuhuan Li, Hao Zhang, Jianhang Chen, Qimei Cui, Xiaofeng Tao
In pursuit of these answers, we present a comprehensive benchmark for Causation Understanding of Video Anomaly (CUVA).
no code implementations • 29 Sep 2021 • Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Yang Liu
It was shown that LS serves as a regularizer for training data with hard labels and therefore improves the generalization of the model.
Ranked #15 on Learning with noisy labels on CIFAR-10N-Worst
1 code implementation • 8 Jun 2021 • Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Masashi Sugiyama, Yang Liu
We provide understandings for the properties of LS and NLS when learning with noisy labels.
Ranked #9 on Learning with noisy labels on CIFAR-10N-Random3