You Only Look One-level Feature
Introduction
@inproceedings{chen2021you,
title={You Only Look One-level Feature},
author={Chen, Qiang and Wang, Yingming and Yang, Tong and Zhang, Xiangyu and Cheng, Jian and Sun, Jian},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
year={2021}
}
Results and Models
Backbone |
Style |
Epoch |
Lr schd |
Mem (GB) |
box AP |
Config |
Download |
R-50-C5 |
caffe |
Y |
1x |
8.3 |
37.5 |
config |
model | log |
Note:
- We find that the performance is unstable and may fluctuate by about 0.3 mAP. mAP 37.4 ~ 37.7 is acceptable in YOLOF_R_50_C5_1x. Such fluctuation can also be found in the original implementation.
- In addition to instability issues, sometimes there are large loss fluctuations and NAN, so there may still be problems with this project, which will be improved subsequently.