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I have added the official pretrained weights for the pruned versions of efficientNet from https://arxiv.org/pdf/2002.08258.pdf. Every pruned efficientNet b{n} model has same flops as unpruned efficientNet b{n-1} and higher accuracy.

Example, efficientNet b1 pruned has 0.39 GFLOPS like efficientNet b0 and has 78.3% accuracy while the official version of efficientNet b0 has 77.3% accuracy.

@rwightman rwightman merged commit 8ec554b into huggingface:master May 3, 2020
guoriyue pushed a commit to guoriyue/pytorch-image-models that referenced this pull request May 24, 2024
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