# YOLOF (You Only Look One-level Feature) ## ModelZOO | 网络网络 | 输入尺寸 | 图片数/GPU | Epochs | 模型推理耗时(ms) | mAPval
0.5:0.95 | Params(M) | FLOPs(G) | 下载链接 | 配置文件 | | :--------------------- | :------- | :-------: | :----: | :----------: | :---------------------: | :----------------: |:---------: | :------: |:---------------: | | YOLOF-R_50_C5 (paper) | 800x1333 | 4 | 12 | - | 37.7 | - | - | - | - | | YOLOF-R_50_C5 | 800x1333 | 4 | 12 | - | 38.1 | 44.16 | 241.64 | [下载链接](https://paddledet.bj.bcebos.com/models/yolof_r50_c5_1x_coco.pdparams) | [配置文件](./yolof_r50_c5_1x_coco.yml) | **注意:** - YOLOF模型训练过程中默认使用8 GPUs进行混合精度训练,总batch_size默认为32。 ## Citations ``` @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} } ```