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

No description provided.

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?".

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

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)

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

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

Visual Search Model: A Bayesian model for visual search on natural scenes.

Sanity checks for comparing gradient attribution maps

implementation of Visualising Image Classification Models and Saliency Maps

This project uses Deep Learning to extract Salient text from an image using State-of-the-Art Vision Transformer Architecture.

The demo PyTorch implementation of Knowledge-Based System 2025 paper "Towards Efficient Salient Object Detection via U-Shape Architecture Search"

Code for evaluating saliency maps with classification metrics.

Official [WACV] Code Repository for "Saliency Guided Experience Packing for Replay in Continual Learning"

Programming assignments to demonstrate the Applications of Data Science. These were completed as part of the Plaksha Tech Leaders Fellowship program.