Region Proposal by Guided Anchoring
Introduction
We provide config files to reproduce the results in the CVPR 2019 paper for Region Proposal by Guided Anchoring.
@inproceedings{wang2019region,
title={Region Proposal by Guided Anchoring},
author={Jiaqi Wang and Kai Chen and Shuo Yang and Chen Change Loy and Dahua Lin},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
year={2019}
}
Results and Models
The results on COCO 2017 val is shown in the below table. (results on test-dev are usually slightly higher than val).
Method |
Backbone |
Style |
Lr schd |
Mem (GB) |
Inf time (fps) |
AR 1000 |
Download |
GA-RPN |
R-50-FPN |
caffe |
1x |
5.3 |
15.8 |
68.4 |
model | log |
GA-RPN |
R-101-FPN |
caffe |
1x |
7.3 |
13.0 |
69.5 |
model | log |
GA-RPN |
X-101-32x4d-FPN |
pytorch |
1x |
8.5 |
10.0 |
70.6 |
model | log |
GA-RPN |
X-101-64x4d-FPN |
pytorch |
1x |
7.1 |
7.5 |
71.2 |
model | log |
Method |
Backbone |
Style |
Lr schd |
Mem (GB) |
Inf time (fps) |
box AP |
Download |
GA-Faster RCNN |
R-50-FPN |
caffe |
1x |
5.5 |
|
39.6 |
model | log |
GA-Faster RCNN |
R-101-FPN |
caffe |
1x |
7.5 |
|
41.5 |
model | log |
GA-Faster RCNN |
X-101-32x4d-FPN |
pytorch |
1x |
8.7 |
9.7 |
43.0 |
model | log |
GA-Faster RCNN |
X-101-64x4d-FPN |
pytorch |
1x |
11.8 |
7.3 |
43.9 |
model | log |
GA-RetinaNet |
R-50-FPN |
caffe |
1x |
3.5 |
16.8 |
36.9 |
model | log |
GA-RetinaNet |
R-101-FPN |
caffe |
1x |
5.5 |
12.9 |
39.0 |
model | log |
GA-RetinaNet |
X-101-32x4d-FPN |
pytorch |
1x |
6.9 |
10.6 |
40.5 |
model | log |
GA-RetinaNet |
X-101-64x4d-FPN |
pytorch |
1x |
9.9 |
7.7 |
41.3 |
model | log |
-
In the Guided Anchoring paper, score_thr
is set to 0.001 in Fast/Faster RCNN and 0.05 in RetinaNet for both baselines and Guided Anchoring.
-
Performance on COCO test-dev benchmark are shown as follows.
Method |
Backbone |
Style |
Lr schd |
Aug Train |
Score thr |
AP |
AP_50 |
AP_75 |
AP_small |
AP_medium |
AP_large |
Download |
GA-Faster RCNN |
R-101-FPN |
caffe |
1x |
F |
0.05 |
|
|
|
|
|
|
|
GA-Faster RCNN |
R-101-FPN |
caffe |
1x |
F |
0.001 |
|
|
|
|
|
|
|
GA-RetinaNet |
R-101-FPN |
caffe |
1x |
F |
0.05 |
|
|
|
|
|
|
|
GA-RetinaNet |
R-101-FPN |
caffe |
2x |
T |
0.05 |
|
|
|
|
|
|
|