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Unofficial Pytorch implementation of the paper 'Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps' experiment on ImageNet-1K

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Saliency Map Implementation with Pytorch

  • Unofficial implementation of the paper Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

1. Implementation Details

  • 1. Class Model Visualisation.ipynb : update zero image using pre-trained model with target class
  • 2. Image-Specific Class Saliency Visualisation.ipynb : make saliency map of an image using pre-trained model with target class

2. Reference

  • Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps [paper]

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Unofficial Pytorch implementation of the paper 'Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps' experiment on ImageNet-1K

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