The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)
It addresses the problem of improving video search using natural language queries for researchers and practitioners in computer vision.
The paper introduced a new video understanding pentathlon challenge at CVPR 2020 to explore and evaluate methods for text-to-video retrieval, summarizing results and findings from participants.
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.