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deng 612a5ebef5 更新 'README.md' 1 year ago
ascend310_infer SE_ResNeXt50_32x4d Ascend910 2 years ago
scripts SE_ResNeXt50_32x4d Ascend910 2 years ago
src SE_ResNeXt50_32x4d Ascend910 2 years ago
README.md 更新 'README.md' 1 year ago
create_imagenet2012_label.py SE_ResNeXt50_32x4d Ascend910 2 years ago
eval.py SE_ResNeXt50_32x4d Ascend910 2 years ago
export.py SE_ResNeXt50_32x4d Ascend910 2 years ago
postprocess.py SE_ResNeXt50_32x4d Ascend910 2 years ago
train.py SE_ResNeXt50_32x4d Ascend910 2 years ago

SE-ResNeXt是一个图像分类网络架构。作者注重于通道关系提出了Squeezeand-Excitation(SE)块,并在ResNeXt模型的基础上加入了该模块,提高了分类准确率。

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