rednet.md

RedNet

• 论文：Involution: Inverting the Inherence of Convolution for Visual Recognition

• 官方项目：d-li14/involution

• 项目代码：rednet.py

• 验证集数据处理：

  # 图像后端：cv2
  # 输入图像大小：224x224
  transforms = T.Compose([
      T.Resize(256),
      T.CenterCrop(224),
      T.Normalize(
          mean=[123.675, 116.28, 103.53],
          std=[58.395, 57.12, 57.375],
          to_rgb=True,
          data_format='HWC'
      ),
      T.ToTensor(),
  ])

• 模型细节：

  Model	Model Name	Params (M)	FLOPs (G)	Top-1 (%)	Top-5 (%)	Pretrained Model
  RedNet-26	rednet_26	9.2	1.7	75.96	93.19	Download
  RedNet-38	rednet_38	12.4	2.2	77.48	93.57	Download
  RedNet-50	rednet_50	15.5	2.7	78.35	94.18	Download
  RedNet-101	rednet_101	25.7	4.7	78.92	94.35	Download
  RedNet-152	rednet_152	34.0	6.8	79.12	94.38	Download

• 引用：

  @InProceedings{Li_2021_CVPR,
      title = {Involution: Inverting the Inherence of Convolution for Visual Recognition},
      author = {Li, Duo and Hu, Jie and Wang, Changhu and Li, Xiangtai and She, Qi and Zhu, Lei and Zhang, Tong and Chen, Qifeng},
      booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
      month = {June},
      year = {2021}
  }