Attention-based Model
一、Attention与其他模型 1、LSTM、RNN的缺点：输入的Memory长度不能太长，否则参数会很多。 采用attention可以输入长Memory，参数不会变多。 2、Sequence to Sequence Learning : 输入和输出的句子长度可以不一样，常用来做句子翻译 ...
原文：Attention-based Dropout Layer for Weakly Supervised Object Localization
Attention based Dropout Layer for Weakly Supervised Object Localization : : Paper:http: openaccess.thecvf.com content CVPR papers Choe Attention Based Dropout Layer for Weakly Supervised Object Locali ...
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