no code implementations • 25 Apr 2024 • Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shikun Zhang
This insight leads us to develop a meta-learning-based framework for optimizing classifiers with this novel loss, introducing the effects of augmentation while bypassing the explicit augmentation process.