Grad-CAM
Grad-CAM (Gradient-weighted Class Activation Mapping) is a technique for producing visual explanations from convolutional neural network (CNN) models by using the gradients of a target class flowing into the…
Computer Vision
Explore Computer Vision through related topics and the articles other pages reference most.
Explore articles
Browse subtopics: Interpretability
Articles that also belong to these categories. Counts cover all of Computer Vision.
All articles (206)Deep Learning (53)Machine Learning (41)AI Models (39)Generative AI (37)AI Benchmarks (19)Multimodal AI (18)Neural Networks (17)Chinese AI (16)AI Companies (15)Meta AI (14)Robotics (14)Artificial Intelligence (13)Data & Datasets (13)Image Generation (13)AI Tools & Products (12)Open Source AI (12)Video Generation (11)Autonomous Vehicles (7)World Models (7)Natural Language Processing (6)People (6)AI Research (5)Model Architecture (5)Transformer Models (5)AI Hardware (4)Embodied AI (4)AI Ethics (3)AI Events (3)Developer Tools (3)Google (3)Model Evaluation (3)Training & Optimization (3)AI History (2)Google DeepMind (2)Healthcare AI (2)Interpretability (2)Large Language Models (2)AI Agents (1)AI for Science (1)Algorithms (1)Companies (1)Computer Science (1)Defense AI (1)Enterprise AI (1)Information Retrieval (1)Mathematics (1)Microsoft (1)NVIDIA (1)Physical AI (1)Robotics Companies (1)Statistics (1)
Showing 1-2 of 2 articles
Saliency map
A saliency map is an explainable AI visualization that highlights which parts of an input, most often the individual pixels of an image, most influenced a deep learning model's prediction.