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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
Squeeze-and-Excitation Networks
Introduction
@inproceedings{hu2018squeeze,
title={Squeeze-and-excitation networks},
author={Hu, Jie and Shen, Li and Sun, Gang},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={7132--7141},
year={2018}
}
Results and models
ImageNet
| Model | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Config | Download |
|---|---|---|---|---|---|---|
| SE-ResNet-50 | 28.09 | 4.13 | 77.74 | 93.84 | config | model | log |
| SE-ResNet-101 | 49.33 | 7.86 | 78.26 | 94.07 | config | model | log |