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

页数：2

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