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Embodied Visual Learning from Video by api-295323048 is a document available to read on EtoBox.

What is Embodied Visual Learning from Video about?

This document discusses using unlabeled video data and ego-motion signals to learn visual representations in an unsupervised manner. The goal is to move towards embodied visual learning by teaching computer vision systems the connection between how an agent moves and how its visual surroundings change. The approach learns ego-motion equivariant features from unlabeled video and motor signals, where pairs of frames related by similar ego-motions should be related by the same feature transformation. This allo

Author

api-295323048

Language

EN