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2018

The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary

Ghanem, Bernard, Niebles, Juan Carlos, Snoek, Cees et al.

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The 3rd annual installment of the ActivityNet Large- Scale Activity Recognition Challenge, held as a full-day workshop in CVPR 2018, focused on the recognition of daily life, high-level, goal-oriented activities from user-generated videos as those found in internet video portals.

The 2018 challenge hosted six diverse tasks which aimed to push the limits of semantic visual understanding of videos as well as bridge visual content with human captions.
Three out of the six tasks were based on the ActivityNet dataset, which was introduced in CVPR 2015 and organized hierarchically in a semantic taxonomy.
These tasks focused on tracing evidence of activities in time in the form of proposals, class labels, and captions.

The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary · Around

Built on

ActivityNet: A large-scale video benchmark for human activity understanding
F. Caba Heilbron, V. Escorcia, B. Ghanem, and J. Carlos Niebles · 2015
Earlier work this paper cites.
The kinetics human action video dataset
Original
W. Kay, J. Carreira, K. Simonyan, B. Zhang, C. Hillier, S. Vijayanarasimhan, F. Viola, T. Green, T. Back, P. Natsev, M. Suleyman, and A. Zisserman · 2017
Earlier work this paper cites.

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Dense-captioning events in videos
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Then

Ava: A video dataset of spatio-temporally localized atomic visual actions
C. Gu, C. Sun, S. Vijayanarasimhan, C. Pantofaru, D. A. Ross, G. Toderici, Y. Li, S. Ricco, R. Sukthankar, C. Schmid, et al · 2018
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