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Lecture
Visual Recognition: Integrated 3D + Semantics
Description
This lecture covers topics related to visual recognition, including feedforward vs feedback models, image level labeling, scene graphs, and 3D scene graph integration. It also discusses the use of neural networks in recognition pipelines and embodied vision. The instructor presents various datasets and challenges in the field, as well as cognitive maps in rats and men.
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