PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrics

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

Neural network visualization toolkit for tf.keras

CVPR2020, Multi-scale Interactive Network for Salient Object Detection

Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]

Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources

Collection of NLP model explanations and accompanying analysis tools

Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"

Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras

Official Repository for ECCV 2020 paper "AiR: Attention with Reasoning Capability"

This is an official implementation for Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation. [CVPR'25] Better understand discriminative traits between similar species.

A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore National Laboratory.

Codes for the AAAI 2021 paper "Locate Globally, Segment locally: A Progressive Architecture With Knowledge Review Network for Salient Object Detection"

Visualizer for PyTorch image models

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

The official PyTorch implementation of IEEE Transactions on Image Processing 2021 paper "Rethinking the U-shape Structure for Salient Object Detection"

Pytorch/Tensorflow package for generating saliency maps for time-series models using Cross-Domain Integrated Gradients.

Code implementing the experiments described in the NeurIPS 2018 paper "With Friends Like These, Who Needs Adversaries?".

reference implementation of Real-time Salient Object Detection based on Division of Gaussians [Katramados/Breckon, 2011]