ConvNeXt (A ConvNet for the 2020s)
模型库
ConvNeXt on COCO
网络网络 |
输入尺寸 |
图片数/GPU |
学习率策略 |
mAPval 0.5:0.95
| mAPval 0.5
| Params(M) |
FLOPs(G) |
下载链接 |
配置文件 |
PP-YOLOE-ConvNeXt-tiny |
640 |
16 |
36e |
44.6 |
63.3 |
33.04 |
13.87 |
下载链接 |
配置文件 |
YOLOX-ConvNeXt-s |
640 |
8 |
36e |
44.6 |
65.3 |
36.20 |
27.52 |
下载链接 |
配置文件 |
Citations
@Article{liu2022convnet,
author = {Zhuang Liu and Hanzi Mao and Chao-Yuan Wu and Christoph Feichtenhofer and Trevor Darrell and Saining Xie},
title = {A ConvNet for the 2020s},
journal = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2022},
}