#Saliency
Showing 9 of 9 repositories tagged #saliency, ranked by stars
Pytorch implementation of convolutional neural network visualization techniques
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrics
PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection
Neural network visualization toolkit for tf.keras
[WACV2025 Oral] SUM: Saliency Unification through Mamba for Visual Attention Modeling
BayesGrad: Explaining Predictions of Graph Convolutional Networks
Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.