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@ -7,16 +7,18 @@ Universal feature extraction, new models, new weights, new test sets.
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* New models
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* CSPResNet, CSPResNeXt, CSPDarkNet, DarkNet
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* ReXNet
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* (Aligned) Xception41/65/71 (a proper port of TF models)
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* (Modified Aligned) Xception41/65/71 (a proper port of TF models)
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* New trained weights
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* SEResNet50 - 80.3
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* SEResNet50 - 80.3 top-1
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* CSPDarkNet53 - 80.1 top-1
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* CSPResNeXt50 - 80.0 to-1
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* CSPResNeXt50 - 80.0 top-1
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* DPN68b - 79.2 top-1
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* EfficientNet-Lite0 (non-TF ver) - 75.5 (submitted by @hal-314)
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* EfficientNet-Lite0 (non-TF ver) - 75.5 (submitted by [@hal-314](https://github.com/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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* Test set ranking/top-n diff script by [@KushajveerSingh](https://github.com/KushajveerSingh)
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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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* adamp and sgdp optimizers added by [@hellbell](https://github.com/hellbell)
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### June 11, 2020
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Bunch of changes:
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