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README.md

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# Sample code for the Class Activation Mapping
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We propose a simple technique to espose the implicit attention of Convolutional Neural Networks on the image. It highlights the most informative image regions relevant to the predicted class. You could get attention-based model instantly by tweaking your own CNN a little bit more. The paper is published at [CVPR'16](http://arxiv.org/pdf/1512.04150.pdf).
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We propose a simple technique to expose the implicit attention of Convolutional Neural Networks on the image. It highlights the most informative image regions relevant to the predicted class. You could get attention-based model instantly by tweaking your own CNN a little bit more. The paper is published at [CVPR'16](http://arxiv.org/pdf/1512.04150.pdf).
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The framework of the Class Activation Mapping is as below:
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![Framework](http://cnnlocalization.csail.mit.edu/framework.jpg)

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