論文閱讀 Adversarial Complementary Learning forWeakly Supervised Object Localization
Abstract 文章提出了ACoL通過一種弱監督的方式自動定位整合的感興趣的區域，直接從最後的卷積層來選擇class-specific的feature map。其中整個網絡包含兩個分類器，其中一個分類器A用來定位discriminitive regions，而另一個分類器B用來定義A沒有定位出來的感興趣區域，從而形成一種互補。 任務定義 Weakly Supervised Object Loca
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