SalienyMapper

Implementation of the paper : Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857

Results

Example 1	Example 2

Purpose

NIPS 2017 Paper Implementation Challenge . Even though the author's implementation exists, this is an attempt to make a more user friendly version of the code and especially purposed as a learning tool for the models in the paper.

Differences from the Official Implementation:

• Made for training on the Cifar10 dataset, official repo is meant to train the ImageNet Dataset
• Less Verbose, only the core details present. Loss, Model and Trainer. Readable Code

Files

• model.py -> Main model hosted
• resnet.py -> Black Box Classifier
• train_classifier -> Trains classifier Model
• train_saliency -> Trains Saliency Model

To do

• [ ] Logging
• [ ] Responsive Training bar ala Keras
• [ ] Validation Training
• [ ] Make code to work for any dataset
• [ ] Add circle ci and Docker support
• [ ] Command Line Interface
• [ ] ImageNet training

Help

Referred to the author's repo ,this project was made on the shoulders of giants. Official Repo: https://github.com/PiotrDabkowski/pytorch-saliency