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The base training code can refer to PASS (https://github.com/Impression2805/CVPR21_PASS), which is the same as our implementation. It is noted the provided resnet18_no1.py is not designed for base training due to the missing of some layers, and a standard resnet18 model from PASS or PODNet should be involved in the base training. Forgive my laziness. For convenience, I am planning to update a version on the branch after the Spring Festival.
Training part of your code is missing, I cannot reproduce your results. Can you share your code?
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