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GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval. (arXiv:2204.00486v3 [cs.CV] UPDATED)
July 21, 2022, 1:13 a.m. | Yuxuan Wang, Difei Gao, Licheng Yu, Stan Weixian Lei, Matt Feiszli, Mike Zheng Shou
cs.CV updates on arXiv.org arxiv.org
Cognitive science has shown that humans perceive videos in terms of events
separated by the state changes of dominant subjects. State changes trigger new
events and are one of the most useful among the large amount of redundant
information perceived. However, previous research focuses on the overall
understanding of segments without evaluating the fine-grained status changes
inside. In this paper, we introduce a new dataset called Kinetic-GEB+. The
dataset consists of over 170k boundaries associated with captions describing
status changes …
More from arxiv.org / cs.CV updates on arXiv.org
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