mlsanityData to 7 Oct 2026

Dense-Captioning Events in Videos: SYSU Submission to ActivityNet Challenge 2020

arXiv 2006.11693 ↗First posted 21 Jun 2020cs.CVcited by 9

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Abstract (arXiv)

This technical report presents a brief description of our submission to the dense video captioning task of ActivityNet Challenge 2020. Our approach follows a two-stage pipeline: first, we extract a set of temporal event proposals; then we propose a multi-event captioning model to capture the event-level temporal relationships and effectively fuse the multi-modal information. Our approach achieves a 9.28 METEOR score on the test set.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Jun 2020.

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Citing papers per year: 2022: 1; 2023: 3; 2024: 2; 2025: 2; 2026: 1.

9 papers.