2021
DOI: 10.48550/arxiv.2104.06142
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Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning

Abstract: Detection and localization of actions in videos is an important problem in practice. A traffic analyst might be interested in studying the patterns in which vehicles move at a given intersection. State-of-the-art video analytics systems are unable to efficiently and effectively answer such action queries. The reasons are threefold. First, action detection and localization tasks require computationally expensive deep neural networks. Second, actions are often rare events. Third, actions are spread across a sequ… Show more

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