Approximating Human-Level 3D Visual Inferences With Deep Neural Networks
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Humans make rich inferences about the geometry of the visual world. While deep neural networks (DNNs) achieve human-level performance on some psychophysical tasks (e.g., rapid classification of object or scene categories), they often fail in tasks requiring in... ...
