Localization Distillation for Object Detection
Introduction
[ALGORITHM]
@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