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

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    Type
    Preprint
    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
    Collections
    Preprints; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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