[Docs] Add algorithm readme and update meta yml (#418)
* Add README.md for models without checkpoints. * Update model-index.yml * Update metafile.yml of seresnetpull/425/head
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# ResNeSt: Split-Attention Networks
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## Introduction
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<!-- [ALGORITHM] -->
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```latex
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@misc{zhang2020resnest,
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title={ResNeSt: Split-Attention Networks},
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author={Hang Zhang and Chongruo Wu and Zhongyue Zhang and Yi Zhu and Haibin Lin and Zhi Zhang and Yue Sun and Tong He and Jonas Mueller and R. Manmatha and Mu Li and Alexander Smola},
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year={2020},
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eprint={2004.08955},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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Top 5 Accuracy: 93.84
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Top 5 Accuracy: 93.84
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Task: Image Classification
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/se-resnet/se-resnet50_batch256_imagenet_20200804-ae206104.pth
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Weights: https://download.openmmlab.com/mmclassification/v0/se-resnet/se-resnet50_batch256_imagenet_20200804-ae206104.pth
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Config: configs/seresnet50/seresnet50_b32x8_imagenet.py
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Config: configs/seresnet/seresnet50_b32x8_imagenet.py
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- Name: seresnet101_b32x8_imagenet
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- Name: seresnet101_b32x8_imagenet
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Metadata:
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Metadata:
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FLOPs: 7860000000
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FLOPs: 7860000000
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Top 5 Accuracy: 94.07
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Top 5 Accuracy: 94.07
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Task: Image Classification
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/se-resnet/se-resnet101_batch256_imagenet_20200804-ba5b51d4.pth
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Weights: https://download.openmmlab.com/mmclassification/v0/se-resnet/se-resnet101_batch256_imagenet_20200804-ba5b51d4.pth
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Config: configs/seresnet101/seresnet101_b32x8_imagenet.py
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Config: configs/seresnet/seresnet101_b32x8_imagenet.py
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# Transformer in Transformer
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## Introduction
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<!-- [ALGORITHM] -->
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```latex
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@misc{han2021transformer,
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title={Transformer in Transformer},
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author={Kai Han and An Xiao and Enhua Wu and Jianyuan Guo and Chunjing Xu and Yunhe Wang},
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year={2021},
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eprint={2103.00112},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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# An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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## Introduction
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[ALGORITHM]
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```latex
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@inproceedings{
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dosovitskiy2021an,
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title={An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale},
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author={Alexey Dosovitskiy and Lucas Beyer and Alexander Kolesnikov and Dirk Weissenborn and Xiaohua Zhai and Thomas Unterthiner and Mostafa Dehghani and Matthias Minderer and Georg Heigold and Sylvain Gelly and Jakob Uszkoreit and Neil Houlsby},
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booktitle={International Conference on Learning Representations},
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year={2021},
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url={https://openreview.net/forum?id=YicbFdNTTy}
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}
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```
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- configs/resnet/metafile.yml
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- configs/resnet/metafile.yml
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- configs/resnext/metafile.yml
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- configs/resnext/metafile.yml
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- configs/seresnet/metafile.yml
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- configs/seresnet/metafile.yml
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- configs/seresnext/metafile.yml
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- configs/shufflenet_v1/metafile.yml
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- configs/shufflenet_v1/metafile.yml
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- configs/shufflenet_v2/metafile.yml
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- configs/shufflenet_v2/metafile.yml
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- configs/swin_transformer/metafile.yml
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- configs/vgg/metafile.yml
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- configs/vgg/metafile.yml
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