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]

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

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"

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

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

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

Neural network visualization tool after an optional model compression with parameter pruning: (integrated) gradients, guided/visual backpropagation, activation maps for the cao model on the IndianPines dataset

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

Code and data for the ACL 2023 NLReasoning Workshop paper "Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods" (Feldhus et al., 2023)

Saliency Detection library (models, loss, utils) with PyTorch