The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)

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Authors
Albanie, Samuel
Liu, Yang
Nagrani, Arsha
Miech, Antoine
Coto, Ernesto
Laptev, Ivan
Sukthankar, Rahul
Ghanem, Bernard cc
Zisserman, Andrew
Gabeur, Valentin
Sun, Chen
Alahari, Karteek
Schmid, Cordelia
Chen, Shizhe
Zhao, Yida
Jin, Qin
Cui, Kaixu
Liu, Hui
Wang, Chen
Jiang, Yudong
Hao, Xiaoshuai
KAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
VCC Analytics Research Group
Date
2020-08-03
Permanent link to this record
http://hdl.handle.net/10754/664666

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Abstract
We present a new video understanding pentathlon challenge, an open competition held in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020. The objective of the challenge was to explore and evaluate new methods for text-to-video retrieval-the task of searching for content within a corpus of videos using natural language queries. This report summarizes the results of the first edition of the challenge together with the findings of the participants.
Sponsors
The organisers would like to express their gratitude to the creators of the original datasets used in this challenge. They would like to thank in particular Juan Carlos Niebles, Ranjay Krishna, Luowei Zhou, Lisa Ann Hendricks, Jun Xu, Tao Mei, Ting Yao, Yong Rui, David L. Chen, Bryan Russell and Anna Rohrbach for their assistance. We gratefully acknowledge the support of the Programme Grant Seebibyte EP/M013774/1.
Publisher
arXiv
arXiv
2008.00744
Additional Links
https://arxiv.org/pdf/2008.00744
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Preprints; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division