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* Update metafile format. * Update accuracy of checkpoints. * Add metafile and readme for tnt. * Add converted ckpts in swin-transformer. * Fix tnt ckpt link * Update swin_transformer metafile
Aggregated Residual Transformations for Deep Neural Networks
Introduction
@inproceedings{xie2017aggregated,
title={Aggregated residual transformations for deep neural networks},
author={Xie, Saining and Girshick, Ross and Doll{\'a}r, Piotr and Tu, Zhuowen and He, Kaiming},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={1492--1500},
year={2017}
}
Results and models
ImageNet
| Model | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Config | Download |
|---|---|---|---|---|---|---|
| ResNeXt-32x4d-50 | 25.03 | 4.27 | 77.90 | 93.66 | config | model | log |
| ResNeXt-32x4d-101 | 44.18 | 8.03 | 78.61 | 94.17 | config | model | log |
| ResNeXt-32x8d-101 | 88.79 | 16.5 | 79.27 | 94.58 | config | model | log |
| ResNeXt-32x4d-152 | 59.95 | 11.8 | 78.88 | 94.33 | config | model | log |