SARSA Algorithm
Computer Vision
Visualizations that highlight which parts of an image are most important for a model’s decision.
Detailed Explanation
Saliency maps are visual tools used in computer vision to identify and highlight the regions of an image that significantly influence a model’s prediction. By emphasizing these critical areas, saliency maps help interpret model behavior, improve understanding of decision-making processes, and facilitate debugging, ensuring that the AI's focus aligns with relevant features in the image.
Use Cases
- •Use case: Visual explanations for medical image diagnosis, highlighting tumor regions to assist doctors in understanding AI decisions.
Related Terms
Other terms in the Computer Vision category