OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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BigDong
11f3ca2ba6
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3 years ago | |
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README.md | 3 years ago | |
metafile.yml | 3 years ago | |
yolof_r50_c5_8x8_1x_coco.py | 3 years ago | |
yolof_r50_c5_8x8_iter-1x_coco.py | 4 years ago |
README.md
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.