1 code implementation • 22 Jan 2024 • Xinqiao Zhao, Feilong Tang, Xiaoyang Wang, Jimin Xiao
Specifically, we leverage the class prototypes that carry positive shared features and propose a Multi-Scaled Distribution-Weighted (MSDW) consistency loss for narrowing the gap between the CAMs generated through classifier weights and class prototypes during training.
no code implementations • Pattern Recognition 2023 • Xinqiao Zhao, Jimin Xiao, Siyue Yu, Hui Li, Bingfeng Zhang
In this paper, we propose a Weight-Guided Class Complementing framework to address this issue.
Ranked #11 on Long-tail Learning on CIFAR-10-LT (ρ=100)