The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)
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Abstract (arXiv)
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.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Aug 2020.
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Citing papers per year: 2021: 3; 2022: 1; 2023: 1; 2024: 0; 2025: 2.
7 papers.
- 2021VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluationcited by 95
- 2021On Semantic Similarity in Video Retrievalcited by 46
- 2021Video-aided Unsupervised Grammar Inductioncited by 17
- 2025Real-world Reinforcement Learning from Suboptimal Interventionscited by 8
- 2022Model-agnostic Multi-Domain Learning with Domain-Specific Adapters for Action Recognitioncited by 3
- 2023Team AcieLee: Technical Report for EPIC-SOUNDS Audio-Based Interaction Recognition Challenge 2023cited by 0
- 2025LeCoT: revisiting network architecture for two-view correspondence pruningcited by 0
- 2025Real-world Reinforcement Learning from Suboptimal Interventions30 Dec 2025
- 2025LeCoT: revisiting network architecture for two-view correspondence pruning10 Nov 2025
- 2023Team AcieLee: Technical Report for EPIC-SOUNDS Audio-Based Interaction Recognition Challenge 202315 Jun 2023
- 2022Model-agnostic Multi-Domain Learning with Domain-Specific Adapters for Action Recognition15 Apr 2022
- 2021VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation8 Jun 2021
- 2021Video-aided Unsupervised Grammar Induction9 Apr 2021
- 2021On Semantic Similarity in Video Retrieval18 Mar 2021