Attention-based Model
一、Attention與其他模型 1、LSTM、RNN的缺點：輸入的Memory長度不能太長，否則參數會很多。 采用attention可以輸入長Memory，參數不會變多。 2、Sequence to Sequence Learning : 輸入和輸出的句子長度可以不一樣，常用來做句子翻譯 ...
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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