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PyCIL: a Python toolbox for class-incremental learning
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DOI：10.1007/s11432-022-3600-y.png)
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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.
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