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MIT researchers have developed a training method that helps computer vision models learn to represent the visual world in a more stable and predictable way, similar to how humans do. This ability, known as perceptual straightening, can help models better estimate how objects or people will move. The training involves showing the model millions of examples so it can learn a task.
