Localization Distillation for Object Detection
Introduction
@Article{zheng2021LD,
title={Localization Distillation for Object Detection},
author= {Zhaohui Zheng, Rongguang Ye, Ping Wang, Jun Wang, Dongwei Ren, Wangmeng Zuo},
journal={arXiv:2102.12252},
year={2021}
}
GFocalV1 with LD
| Teacher |
Student |
Training schedule |
Mini-batch size |
AP (val) |
AP50 (val) |
AP75 (val) |
Config |
| -- |
R-18 |
1x |
6 |
35.8 |
53.1 |
38.2 |
|
| R-101 |
R-18 |
1x |
6 |
36.5 |
52.9 |
39.3 |
config |
| -- |
R-34 |
1x |
6 |
38.9 |
56.6 |
42.2 |
|
| R-101 |
R-34 |
1x |
6 |
39.8 |
56.6 |
43.1 |
config |
| -- |
R-50 |
1x |
6 |
40.1 |
58.2 |
43.1 |
|
| R-101 |
R-50 |
1x |
6 |
41.1 |
58.7 |
44.9 |
config |
| -- |
R-101 |
2x |
6 |
44.6 |
62.9 |
48.4 |
|
| R-101-DCN |
R-101 |
2x |
6 |
45.4 |
63.1 |
49.5 |
config |
Note
- Meaning of Config name: ld_r18(student model)_gflv1(based on gflv1)_r101(teacher model)_fpn(neck)_coco(dataset)_1x(12 epoch).py
