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Learning Deep Features for Discriminative Localization

Learning Deep Features for Discriminative Localization

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put layer (softmax in the case of categorization), we per-form global average pooling on the convolutional feature maps and use those as features for a fully-connected layer that produces the desired output (categorical or otherwise). Given this simple connectivity structure, we can identify the importance of the image regions by projecting ...

  Softmax

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