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Apr 30, 2017 - Jupyter Notebook
saliency-map
Here are 113 public repositories matching this topic...
Explainable AI tools for deciphering how neural networks. Includes saliency maps, confusion matrices, and feature representation examples.
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Jan 11, 2024 - Python
Codes for the Point Cloud Analysis Project (IPL Lab, Sharif UT)
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Nov 9, 2021 - Python
GASP: Gated Attention for Saliency Prediction (IJCAI-21)
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Oct 15, 2022 - Python
Implementation of a DenseNet model and observation of the gradients with different types of saliency maps
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Dec 24, 2023 - Jupyter Notebook
Code for our paper, Saliency Detection using Graph-based Rarity, Spatial Compactness and Background Prior
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Jun 16, 2016 - C++
StellarGraph - Machine Learning on Graphs
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Aug 16, 2023 - Python
saliency map, adversarial image, (gradient) class activation map
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Oct 4, 2019 - Jupyter Notebook
This repo contains dataset and models for city classification
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Feb 20, 2024 - Python
Encoder-Decoder Architechture using VGG16 as base network
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Jun 27, 2022 - Jupyter Notebook
A new seam carving method
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Jul 24, 2021 - Python
Visualizing the decision making process of models - for melanoma detection
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Jan 10, 2022 - Jupyter Notebook
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.
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Oct 17, 2022 - Jupyter Notebook
CELS: Counterfactual Explanation for Time Series Data via Learned Saliency Maps (2023 Big data)
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Jan 24, 2024
Supplementary code and interactive UI for II-map. (https://arxiv.org/abs/2309.09702)
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Sep 20, 2023 - Python
SIDU: SImilarity Difference and Uniqueness method for explainable AI
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Apr 28, 2024 - Python
Implementation of Saliency-based Agreement Metric for Ensemble Learning
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Oct 15, 2020 - HTML
This is the GitHub page for the QoMEX 2018 paper: Visual Attention in Omnidirectional Video for Virtual Reality Applications
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May 24, 2018
RARE2012 is a feature-engineered bottom-up visual attention model
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Jun 14, 2020 - MATLAB
Analysis of visualization methods for relevant areas within images for a trained CNN. Used the GTSRB dataset as well as Activation Maximization, Saliency Map, GradCam, and Gradcam++ methods.
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Jan 1, 2021
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