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README / doc tweaks

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Ross Wightman 2020-08-05 13:17:39 -07:00
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README.md
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@ -16,6 +16,9 @@ Universal feature extraction, new models, new weights, new test sets.
* DPN68b - 79.2 top-1 * DPN68b - 79.2 top-1
* EfficientNet-Lite0 (non-TF ver) - 75.5 (trained by @hal-314) * EfficientNet-Lite0 (non-TF ver) - 75.5 (trained by @hal-314)
* Add 'real' labels for ImageNet and ImageNet-Renditions test set, see [`results/README.md`](results/README.md) * Add 'real' labels for ImageNet and ImageNet-Renditions test set, see [`results/README.md`](results/README.md)
* Train script and loader/transform tweaks to punch through more aug arguments
* README and documentation overhaul. See initial (WIP) documentation at https://rwightman.github.io/pytorch-image-models/
### June 11, 2020 ### June 11, 2020
Bunch of changes: Bunch of changes:

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

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docs/models.md
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@ -94,7 +94,7 @@ The validation results for the pretrained weights can be found [here](results.md
* Weights: https://github.com/facebookresearch/semi-supervised-ImageNet1K-models (NOTE: CC BY-NC 4.0 License, NOT commercial friendly) * Weights: https://github.com/facebookresearch/semi-supervised-ImageNet1K-models (NOTE: CC BY-NC 4.0 License, NOT commercial friendly)
* Squeeze-and-Excitation Networks * Squeeze-and-Excitation Networks
* Paper: `Squeeze-and-Excitation Networks` - https://arxiv.org/abs/1709.01507 * Paper: `Squeeze-and-Excitation Networks` - https://arxiv.org/abs/1709.01507
* Code: Added code to my ResNet base, this is current version going forward, old senet.py is being deprecated * Code: Added to ResNet base, this is current version going forward, old `senet.py` is being deprecated
* ECAResNet (ECA-Net) * ECAResNet (ECA-Net)
* Paper: `ECA-Net: Efficient Channel Attention for Deep CNN` - https://arxiv.org/abs/1910.03151v4 * Paper: `ECA-Net: Efficient Channel Attention for Deep CNN` - https://arxiv.org/abs/1910.03151v4
* Code: Added to ResNet base, ECA module contributed by @VRandme, reference https://github.com/BangguWu/ECANet * Code: Added to ResNet base, ECA module contributed by @VRandme, reference https://github.com/BangguWu/ECANet