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Episode 11: Vincent Sitzmann, MIT, on neural scene representations for computer vision and more general AI

Generally Intelligent

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Neural Representations in Visual Processing

This chapter explores the relationship between neural representations in the brain and visual processing, questioning whether they are strictly three-dimensional or exist in a two-and-a-half-dimensional framework. It examines theories of visual representation, evaluates convolutional neural networks and vision transformers, and highlights the brain's interpretation of optical illusions. The discussion extends to the challenges of neural implicit representations, hierarchical models, and their implications for artificial intelligence and scene understanding.

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