参考
model performance list
https://github.com/omihub777/MLP-Mixer-CIFAR
https://github.com/Amoza-Theodore/MDMLP
Table1: different mlp-mixer imlimentations.
| top1 acc | ref | |
|---|---|---|
| 82.72% | https://github.com/SHI-Labs/Compact-Transformers | |
| 67.51% | https://github.com/omihub777/MLP-Mixer-CIFAR | |
| 55.06% | https://arxiv.org/pdf/2205.14477.pdf |
code
https://github.com/weiaicunzai/pytorch-cifar100
vgg16, Test set: Epoch: 200, Average loss: 0.0127, Accuracy: 0.7254, Time consumed:2.13s
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