Towards Temporal Event Detection: A Dataset, Benchmarks and Challenges
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May 16, 2023 · In this article, we provide a YouTube dataset labelled by real-world news events that can be verified by Wikipedia-like crowd sourcing platforms ...
Abstract: In this paper, we present a new dataset with the target of advancing temporal real-world event detection from video-sharing social media.
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May 31, 2023 · We use our proposed dataset TODAY as the main benchmark, as well as transferability results from two other temporal reasoning benchmarks. TRACIE ...
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In this work, we evaluate recently published articles on event detection from the comparability perspective and analyze the ways in which the authors evaluate ...
In this paper, we propose a new and challenging task called multi-shot temporal event lo- calization, and accordingly, collect a large-scale dataset called ...
In this paper, we propose a new and challenging task called multi-shot temporal event localization, and accordingly, collect a large scale dataset called MUlti ...
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Event Detection. 235 papers with code • 2 benchmarks • 8 datasets. This task ... We also report the performance on the ROAD tasks of Slowfast and YOLOv5 ...
Abstract. Event detection in time series is a challenging task due to the prevalence of imbalanced datasets, rare events, and time interval-defined events.
CVPR 2021. MUSES is a large-scale video dataset, designed to spur researches on a new task called multi-shot temporal event localization. We present a baseline ...
The novelty of this review is to revisit the definition and requirements of event detection and to layout the overall workflow (from sensing and event ...