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Created a model which localized important features of a image using Global Average Pooling. Implementation based on research paper ( https://goo.gl/J1OzEr ). Implementation done with tensorflow and python.

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Tensorflow implementation of "Learning Deep Features for Discriminative Localization" B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba

Learning Deep Features for Discriminative Localization.

Computer Vision and Pattern Recognition (CVPR), 2016.

[PDF][Project Page]

Check the results folder for outputs.

Download the imagenet data to proceed.

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Created a model which localized important features of a image using Global Average Pooling. Implementation based on research paper ( https://goo.gl/J1OzEr ). Implementation done with tensorflow and python.

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