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Class Activation Mapping

2019-09-19 | |  124 |   0 |   0

This demo shows the method proposed in "Zhou, Bolei, et al. "Learning Deep Features for Discriminative Localization." arXiv preprint arXiv:1512.04150 (2015)".

The proposed method can automatically localize the discriminative regions in an image using global average pooling (GAP) in CNNs.

You can download the pretrained Inception-V3 network from here. Other networks with similar structure(use global average pooling after the last conv feature map) should also work.


上一篇：Xception+Keras2MXNet

下一篇：siamese_network_on_omniglot

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