Deep inside convolutional networks: visualising image classification models and saliency maps
This paper addresses the visualisation of image classification models, learnt using deep Convolutional Networks (ConvNets). We consider two visualisation techniques, based on computing the gradient of the class score with respect to the input image. The first one generates an image, which maximises...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
International Conference on Learning Representations
2014
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