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EgoPet: Egomotion and Interaction Data from an Animal's Perspective
April 16, 2024, 4:48 a.m. | Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell
cs.CV updates on arXiv.org arxiv.org
Abstract: Animals perceive the world to plan their actions and interact with other agents to accomplish complex tasks, demonstrating capabilities that are still unmatched by AI systems. To advance our understanding and reduce the gap between the capabilities of animals and AI systems, we introduce a dataset of pet egomotion imagery with diverse examples of simultaneous egomotion and multi-agent interaction. Current video datasets separately contain egomotion and interaction examples, but rarely both at the same time. …
abstract advance agents ai systems animals arxiv capabilities cs.cv cs.ro data dataset gap perspective reduce systems tasks type understanding world
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