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SENet PyTorch
SENet.pytorch. An implementation of SENet, proposed in Squeeze-and-Excitation Networks by Jie Hu, Li Shen and Gang Sun, who are the winners of ILSVRC 2017 ...
2020/03/26 — 最終層は効果が薄く(<0.1%),最終層のModuleのSE Blockを取り除くと,4%増で済むようです. Pytorch. torch-senet.py. Copied! class ...
2020/07/24 — Module): "credits: https://github.com/moskomule/senet.pytorch/blob/master/senet/se_module.py#L4" def __init__(self, c, r=16): super().
Models and code are available at https://github.com/hujie-frank/SENet. read more. PDF Abstract CVPR 2018 PDF CVPR 2018 Abstract ... moskomule/senet.pytorch.
2019/05/20 — ILSVRC 2017で優勝したSqueeze-and-Excitation Networks (SENet)を、こちらのPyTorchの実装を参考にChainerで実装した。
SENet learning and use-pytorch, Programmer Sought, the best programmer technical posts sharing site.
Github: moskomule/senet.pytorch. Languages: Python Add/Edit. Libraries: Add/Edit. Description: Add/Edit. PyTorch implementation of SENet.
GitHub - moskomule/senet.pytorch: PyTorch implementation of SENet. SENet.pytorch An implementation of SENet, proposed in Squeeze-and-Excitation Networks by ...
Junyeong Park SENet-PyTorch: Squeeze and Excitation network implementation.
[x] PyTorch DataSet; [x] PyTorch DataLoader; [x] Augmentations; [x] SeNet CNN ... Python 3.5, CUDA 9, cuDNN 7, PyTorch 2.0 or above, Keras 2 or above ...

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