ResNeSt: Split-Attention Networks
Introduction
[BACKBONE]
@article{zhang2020resnest,
title={ResNeSt: Split-Attention Networks},
author={Zhang, Hang and Wu, Chongruo and Zhang, Zhongyue and Zhu, Yi and Zhang, Zhi and Lin, Haibin and Sun, Yue and He, Tong and Muller, Jonas and Manmatha, R. and Li, Mu and Smola, Alexander},
journal={arXiv preprint arXiv:2004.08955},
year={2020}
}
Results and Models
Faster R-CNN
Backbone |
Style |
Lr schd |
Mem (GB) |
Inf time (fps) |
box AP |
Config |
Download |
S-50-FPN |
pytorch |
1x |
4.8 |
- |
42.0 |
config |
model | log |
S-101-FPN |
pytorch |
1x |
7.1 |
- |
44.5 |
config |
model | log |
Mask R-CNN
Backbone |
Style |
Lr schd |
Mem (GB) |
Inf time (fps) |
box AP |
mask AP |
Config |
Download |
S-50-FPN |
pytorch |
1x |
5.5 |
- |
42.6 |
38.1 |
config |
model | log |
S-101-FPN |
pytorch |
1x |
7.8 |
- |
45.2 |
40.2 |
config |
model | log |
Cascade R-CNN
Backbone |
Style |
Lr schd |
Mem (GB) |
Inf time (fps) |
box AP |
Config |
Download |
S-50-FPN |
pytorch |
1x |
- |
- |
44.5 |
config |
model | log |
S-101-FPN |
pytorch |
1x |
8.4 |
- |
46.8 |
config |
model | log |
Cascade Mask R-CNN
Backbone |
Style |
Lr schd |
Mem (GB) |
Inf time (fps) |
box AP |
mask AP |
Config |
Download |
S-50-FPN |
pytorch |
1x |
- |
- |
45.4 |
39.5 |
config |
model | log |
S-101-FPN |
pytorch |
1x |
10.5 |
- |
47.7 |
41.4 |
config |
model | log |