CVPR 2018: What do deep Networks like to See?
Implementation from the CVPR 2018 paper "What do Deep Networks Like to See?".
This is a simple proof of concept that uses a fine-tuned autoencoder on ResNet50 to reconstruct input images.
- Download the Torch model from here and store it with the root directory of the repo.
python plot_ae_reconstruction.py -i PATH
PATH is the path to the input image.
3. An output image should be saved in the root directory of the repo with the reconstruction.