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@@ -10,6 +10,17 @@ model = EfficientNet.from_pretrained('efficientnet-b0')
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### Updates
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#### Update (April 2, 2021)
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The [EfficientNet-v2 paper]() has been released! I am working on implementing it as you read this :)
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About EfficientNet-v2:
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> EfficientNetV2 is a new family of convolutional networks that have faster training speed and better parameter efficiency than previous models. To develop this family of models, we use a combination of training-aware neural architecture search and scaling, to jointly optimize training speed and parameter efficiency. The models were searched from the search space enriched with new ops such as Fused-MBConv.
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Here is a comparison:
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> <img src="https://github.com/lukemelas/EfficientNet-v2-PyTorch/releases/download/v0.0.1/image.png" width="100%" />
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#### Update (Aug 25, 2020)
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