Improving metric-based few-shot learning with dynamically scaled softmax loss

Yu Zhang, Xin Zuo, Xuxu Zheng, Xiaoyong Gao, Bo Wang, Weiming Hu

Abstract: Highlights•The deep connections between some known losses were established and revealed.•The new framework are suitable for small sample scenarios with intuitive motivation.•Detailed implementation was conducted on sufficient datasets with good result.