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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},
}