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Training Machines to Learn more like humans do

Training machines to learn more like humans do
Schematic illustration of the representation of a discrete video sequence becoming progressively straighter as information is processed through a visual processing pipeline, starting from the highly nonlinear trajectory of typical video frames in pixel space. Credit: Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz and William T. Freeman, https://openreview.net/pdf?id=4cOfD2qL6T

Imagine sitting on a park bench, watching someone stroll by. While the scene may constantly change as the person walks, the human brain can transform that dynamic visual information into a more stable representation over time. This ability, known as perceptual straightening, helps us predict the walking person’s trajectory.

Unlike humans, computer vision models don’t t...

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