PyCIL: a Python']Python toolbox for class-incremental learning

被引：21
|
作者：
Zhou, Da-Wei [1 ]
Wang, Fu-Yun [1 ]
Ye, Han-Jia [1 ]
Zhan, De-Chuan [1 ]
机构：
[1] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210023, Peoples R China
来源：
SCIENCE CHINA-INFORMATION SCIENCES | 2023年 / 66卷 / 09期
基金：
国家重点研发计划; 中国国家自然科学基金;
关键词：
D O I：
10.1007/s11432-022-3600-y
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Conclusion We have presented PyCIL, a classincremental learning toolbox written in Python. It contains implementations of a number of founding studies of CIL, but also provides current state-of-the-art algorithms that can be used to conduct novel fundamental research. Code consistency makes it an easy tool for research purposes, teaching, and industrial applications.
引用
收藏
页数：2
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