Explainable AI tools for deciphering how neural networks. Includes saliency maps, confusion matrices, and feature representation examples.

GASP: Gated Attention for Saliency Prediction (IJCAI-21)

Implementation of a DenseNet model and observation of the gradients with different types of saliency maps

This repository provides code behind SE3D paper.

Encoder-Decoder Architechture using VGG16 as base network

Visualizing the decision making process of models - for melanoma detection

This work study the "Activation/Saliency Map" in image classification, which emphasize the regions in a image where model focus on to give the final predication result.

CELS: Counterfactual Explanation for Time Series Data via Learned Saliency Maps (2023 Big data)

A new seam carving method

Codes for the Point Cloud Analysis Project (IPL Lab, Sharif UT)

Code for our paper, Saliency Detection using Graph-based Rarity, Spatial Compactness and Background Prior

StellarGraph - Machine Learning on Graphs

saliency map, adversarial image, (gradient) class activation map

This repo contains dataset and models for city classification

Project Work for the course COMP 540, Fall'23 (Rice University).

Computer Vision Final Project

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

A fork of the pysaliency repo which allows the number of samples pulled from the SALICON dataset to be limited. It was made to reduce the memory usage when training DeepGaze 3. Additionally, it fixes the `replace_initial_invalid_fixations` missing from the `get_mit1003_with_initial_fixation` function.

Supplementary code and interactive UI for II-map. (https://arxiv.org/abs/2309.09702)