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HarDNet

  • Paper：HarDNet: A Low Memory Traffic Network

  • Origin Repo：PingoLH/Pytorch-HarDNet

  • Code：hardnet.py

  • Evaluate Transforms：

    # backend: pil
# input_size: 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])
])

  • Model Details：

    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

  • Citation：

    @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}
}