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图南 1efb4fe2ca update 1 year ago
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run_distribute_train_ascend.sh update 1 year ago
run_eval_ascend.sh update 1 year ago
run_infer_310.sh update 1 year ago
run_standalone_train_ascend.sh update 1 year ago

提出了一个增强CNN特征辨识力度的损失函数:large margin cosine loss (LMCL)。该损失函数能够增加不同类别的图像特征在特征空间的距离,从而提升CNN的分类能力。

Python C++ Shell Text

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