Learning Deep Features for Discriminative Localization Bolei Zhou Aditya Khosla Agata Lapedriza Aude Oliva Antonio Torralba Massachusetts Institute of Technology In this work, we revisit the global average pooling layer and shed light on how it explicitly enables the convolutional neural network to have remarkable localization ability despite being trained on image-level labels. While this techniq