Learning Deep Features for Discriminative Localization

Learning Deep Features for Discriminative Localization

In this work, we revisit the global average pooling layer proposed in, and shed light on how it explicitly enables the convolutional neural network (CNN) to have remarkable localization ability despite being trained on imagelevel labels. While this technique was previously proposed as a means for re...

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Bibliographic Details
Main Authors: Zhou, Bolei (Contributor), Khosla, Aditya (Contributor), Lapedriza Garcia, Agata (Contributor), Oliva, Aude (Contributor), Torralba, Antonio (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Media Laboratory (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2017-12-29T19:29:08Z.
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