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README / doc tweaks
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README.md

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* DPN68b - 79.2 top-1
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* EfficientNet-Lite0 (non-TF ver) - 75.5 (trained by @hal-314)
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* Add 'real' labels for ImageNet and ImageNet-Renditions test set, see [`results/README.md`](results/README.md)
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* Train script and loader/transform tweaks to punch through more aug arguments
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* README and documentation overhaul. See initial (WIP) documentation at https://rwightman.github.io/pytorch-image-models/
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### June 11, 2020
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Bunch of changes:

docs/changes.md

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# Changes
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# Recent Changes
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### Aug 1, 2020
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Universal feature extraction, new models, new weights, new test sets.

docs/models.md

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* Weights: https://github.com/facebookresearch/semi-supervised-ImageNet1K-models (NOTE: CC BY-NC 4.0 License, NOT commercial friendly)
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* Squeeze-and-Excitation Networks
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* Paper: `Squeeze-and-Excitation Networks` - https://arxiv.org/abs/1709.01507
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* Code: Added code to my ResNet base, this is current version going forward, old senet.py is being deprecated
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* Code: Added to ResNet base, this is current version going forward, old `senet.py` is being deprecated
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* ECAResNet (ECA-Net)
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* Paper: `ECA-Net: Efficient Channel Attention for Deep CNN` - https://arxiv.org/abs/1910.03151v4
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* Code: Added to ResNet base, ECA module contributed by @VRandme, reference https://github.com/BangguWu/ECANet

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