Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy

IEEE Transactions on Knowledge and Data Engineering(2022)

引用 27|浏览224
暂无评分
摘要
We study many-class few-shot (MCFS) problem in both supervised learning and meta-learning settings. Compared to the well-studied many-class many-shot and few-class few-shot problems, the MCFS problem commonly occurs in practical applications but has been rarely studied in previous literature. It brings new challenges of distinguishing between many classes given only a few training samples per clas...
更多
查看译文
关键词
Training,Task analysis,Supervised learning,Data models,Adaptation models,Feature extraction,Measurement
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要