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Add stronger ImageNet pretrained checkpoints
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README.md

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# High-resolution networks (HRNets) for Image classification
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## News
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- [2021/01/20] Add some stronger ImageNet pretrained models, e.g., the HRNet_W48_C_ssld_pretrained.pth achieved top-1 acc 83.6%.
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- [2020/03/13] Our paper is accepted by TPAMI: [Deep High-Resolution Representation Learning for Visual Recognition](https://arxiv.org/pdf/1908.07919.pdf).
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- Per request, we provide two small HRNet models. #parameters and GFLOPs are similar to ResNet18. The segmentation resutls using the two small models are also available at https://github.com/HRNet/HRNet-Semantic-Segmentation.
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| HRNet-W48-C | 77.5M | 16.1 | 20.7% | 5.5% |[OneDrive](https://1drv.ms/u/s!Aus8VCZ_C_33dKvqI6pBZlifgJk)/[BaiduYun(Access Code:68g2)](https://pan.baidu.com/s/13b8srQn8ARF9zHsaxvpRWA)|
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| HRNet-W64-C | 128.1M | 26.9 | 20.5% | 5.4% |[OneDrive](https://1drv.ms/u/s!Aus8VCZ_C_33gQbJsUPTIj3rQu99)/[BaiduYun(Access Code:6kw4)](https://pan.baidu.com/s/16ycW99VAYat3fHjgKpUXvQ)|
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Newly added checkpoints:
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| model |#Params | GFLOPs |top-1 error | Link |
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| :--: | :--: | :--: | :--: | :--: |
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| HRNet-W18-C (w/ CosineLR + CutMix + 300epochs) | 21.3M | 3.99 | 22.1% | [Link](https://github.com/HRNet/HRNet-Image-Classification/releases/download/PretrainedWeights/HRNet_W18_C_cosinelr_cutmix_300epoch.pth.tar)
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| HRNet-W48-C (w/ CosineLR + CutMix + 300epochs) | 77.5M | 16.1 | 18.9% | [Link](https://github.com/HRNet/HRNet-Image-Classification/releases/download/PretrainedWeights/HRNet_W48_C_cosinelr_cutmix_300epoch.pth.tar)
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| HRNet-W18-C-ssld (converted from PaddlePaddle) | 21.3M | 3.99 | 18.8% | [Link](https://github.com/HRNet/HRNet-Image-Classification/releases/download/PretrainedWeights/HRNet_W18_C_ssld_pretrained.pth)
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| HRNet-W48-C-ssld (converted from PaddlePaddle) | 77.5M | 16.1 | 16.4% | [Link](https://github.com/HRNet/HRNet-Image-Classification/releases/download/PretrainedWeights/HRNet_W48_C_ssld_pretrained.pth)
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## Quick start
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### Install

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