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HarDNet

  • 论文:HarDNet: A Low Memory Traffic Network

  • 官方项目:PingoLH/Pytorch-HarDNet

  • 模型代码:hardnet.py

  • 验证集数据处理:

    # 图像后端:pil
    # 输入图像大小:224x224
    transforms = T.Compose([
        T.Resize(256),
        T.CenterCrop(224),
        T.ToTensor(),
        T.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
    ])
  • 模型细节:

    Model Model Name Params (M) FLOPs (G) Top-1 (%) Top-5 (%) Pretrained Model
    HarDNet-68 hardnet_68 17.6 4.3 76.48 93.01 Download
    HarDNet-85 hardnet_85 36.7 9.1 78.04 93.89 Download
    HarDNet-39-ds hardnet_39_ds 3.5 0.4 72.08 90.43 Download
    HarDNet-68-ds hardnet_68_ds 4.2 0.8 74.29 91.87 Download
  • 引用:

    @misc{chao2019hardnet,
        title={HarDNet: A Low Memory Traffic Network}, 
        author={Ping Chao and Chao-Yang Kao and Yu-Shan Ruan and Chien-Hsiang Huang and Youn-Long Lin},
        year={2019},
        eprint={1909.00948},
        archivePrefix={arXiv},
        primaryClass={cs.CV}
    }