FCOS: Fully Convolutional One-Stage Object Detection
Introduction
@article{tian2019fcos,
title={FCOS: Fully Convolutional One-Stage Object Detection},
author={Tian, Zhi and Shen, Chunhua and Chen, Hao and He, Tong},
journal={arXiv preprint arXiv:1904.01355},
year={2019}
}
Results and Models
| Backbone |
Style |
GN |
MS train |
Tricks |
DCN |
Lr schd |
Mem (GB) |
Inf time (fps) |
box AP |
Config |
Download |
| R-50 |
caffe |
Y |
N |
N |
N |
1x |
3.6 |
22.7 |
36.6 |
config |
model | log |
| R-50 |
caffe |
Y |
N |
Y |
N |
1x |
3.7 |
- |
38.7 |
config |
model | log |
| R-50 |
caffe |
Y |
N |
Y |
Y |
1x |
3.8 |
- |
42.3 |
config |
model | log |
| R-101 |
caffe |
Y |
N |
N |
N |
1x |
5.5 |
17.3 |
39.1 |
config |
model | log |
| Backbone |
Style |
GN |
MS train |
Lr schd |
Mem (GB) |
Inf time (fps) |
box AP |
Config |
Download |
| R-50 |
caffe |
Y |
Y |
2x |
2.6 |
22.9 |
38.5 |
config |
model | log |
| R-101 |
caffe |
Y |
Y |
2x |
5.5 |
17.3 |
40.8 |
config |
model | log |
| X-101 |
pytorch |
Y |
Y |
2x |
10.0 |
9.7 |
42.6 |
config |
model | log |
Notes:
- The X-101 backbone is X-101-64x4d.
- Tricks means setting
norm_on_bbox, centerness_on_reg, center_sampling as True.
- DCN means using
DCNv2 in both backbone and head.
