mmpretrain/configs/res2net
Ma Zerun d1473e4a7f
[Dependency] Update mmcv dependency version (#509)
* Update mmcv dependency version

* Add code info in some metafiles
2021-11-02 18:08:30 +08:00
..
README.md [Feature] Add Res2Net backbone and converted weights. (#465) 2021-10-20 16:34:22 +08:00
metafile.yml [Dependency] Update mmcv dependency version (#509) 2021-11-02 18:08:30 +08:00
res2net50-w14-s8_8xb32_in1k.py [Feature] Add Res2Net backbone and converted weights. (#465) 2021-10-20 16:34:22 +08:00
res2net50-w26-s8_8xb32_in1k.py [Feature] Add Res2Net backbone and converted weights. (#465) 2021-10-20 16:34:22 +08:00
res2net101-w26-s4_8xb32_in1k.py [Feature] Add Res2Net backbone and converted weights. (#465) 2021-10-20 16:34:22 +08:00

README.md

Res2Net: A New Multi-scale Backbone Architecture

Introduction

@article{gao2019res2net,
  title={Res2Net: A New Multi-scale Backbone Architecture},
  author={Gao, Shang-Hua and Cheng, Ming-Ming and Zhao, Kai and Zhang, Xin-Yu and Yang, Ming-Hsuan and Torr, Philip},
  journal={IEEE TPAMI},
  year={2021},
  doi={10.1109/TPAMI.2019.2938758},
}

Pretrain model

The pre-trained models are converted from official repo.

ImageNet 1k

Model resolution Params(M) Flops(G) Top-1 (%) Top-5 (%) Download
Res2Net-50-14w-8s* 224x224 25.06 4.22 78.14 93.85 model
Res2Net-50-26w-8s* 224x224 48.40 8.39 79.20 94.36 model
Res2Net-101-26w-4s* 224x224 45.21 8.12 79.19 94.44 model

Models with * are converted from other repos.