README.md

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
YOLOv5-s ConvNeXt	640	8	36e	42.4	65.3	34.54	17.96	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},
}