GAC
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Can't reproduce cifar10/cifar100 results
Hello authors, I'm really interested in your work and thank you for sharing your codes. But I got some questions on reproducing results on Cifar10/100.
- when I trained MsResNet18 model based on your instructions on github, the results on Cifar10/100 didn't even get close to the results on the AAAI24 paper.
- And using GAC encoder didn't seem to have much improvement on the performance (setting self.GAC=False on Ms_ResNet.py didn't show much accuracy drop on Cifar10).
- When I changed hyperparameter settings on the github code based on the AAAI24 paper appendix, LIF param (threshold, tau) = (1, 0.5) -> (0.5, 0.25), accuracy showed significant drop. Could you tell me what am I missing in this experiment? Thank you in advance!