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A PyTorch implementation of Squeeze-and-Excitation Networks, a CNN architecture that enhances feature expressiveness.
PyTorch implementation of the Squeeze-and-Excitation Network (SENet) architecture for deep learning models.
Classification models trained on ImageNet, for use in computer vision and image classification tasks.
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