The human eye's hidden radar
How artificial intelligence maps attention
Saliency in the real world
007skaty Laurent Itti, Christof Koch, and Ernst Niebur combined color, intensity, and orientation features into bright grayscale maps of human focus.
What three basic visual features did the 1998 Itti-Koch-Niebur model use to calculate image saliency?
In what year did researchers Itti, Koch, and Niebur publish their landmark computational saliency model?
007skaty Pixel attribution helps engineers verify that neural networks focus on the right clues.
What is the term for AI techniques that make machine learning models understandable to humans?
How does a pixel attribution saliency map represent the importance of an image region to an AI?
AI snow detection: A neural network trained to classify wolves actually learned to detect snow, a bias exposed only when scientists looked at its visual saliency map.
007skaty Inspect the highlighted pixels to learn how background snow tricks AI classifiers.
What background element did a famous 2016 AI model use to incorrectly classify huskies as wolves?
What popular explainable AI tool was used in 2016 to expose the husky-versus-wolf background bias?
A visual representation highlighting the most prominent or attention-grabbing regions within an image. In 2013, Oxford researchers introduced gradient-based techniques to reveal where deep learning networks focus.
007skaty Grad-CAM AI Debugging
We trace the gradient flow to see if it's looking at the dog or just the snowy ground.
Which layer of a deep neural network does Grad-CAM typically target to generate its attention maps?