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Tracking Transforming Objects: A Benchmark
April 30, 2024, 4:47 a.m. | You Wu, Yuelong Wang, Yaxin Liao, Fuliang Wu, Hengzhou Ye, Shuiwang Li
cs.CV updates on arXiv.org arxiv.org
Abstract: Tracking transforming objects holds significant importance in various fields due to the dynamic nature of many real-world scenarios. By enabling systems accurately represent transforming objects over time, tracking transforming objects facilitates advancements in areas such as autonomous systems, human-computer interaction, and security applications. Moreover, understanding the behavior of transforming objects provides valuable insights into complex interactions or processes, contributing to the development of intelligent systems capable of robust and adaptive perception in dynamic environments. However, …
abstract applications arxiv autonomous autonomous systems behavior benchmark computer cs.cv dynamic enabling fields human human-computer interaction importance nature objects security systems tracking type understanding world
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