MIT Researchers Developed an Image Dataset that Allows Them to Simulate Peripheral Vision in Machine Learning Models

MIT researchers developed the Texture Tiling Model (TTM) to address the challenge of accurately modeling human visual perception in deep neural networks (DNNs), particularly focusing on peripheral vision. Peripheral vision, which represents the world with decreasing fidelity at greater eccentricities, plays a crucial role in human visual processing but is often overlooked in computer vision […]

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