Dense-Captioning Events in Videos: SYSU Submission to ActivityNet Challenge 2020
Published in
arXiv.org(2020)External Links:
TL
TL;DR
This technical report presents a brief description of the submission of a multi-event captioning model to the dense video captioning task of ActivityNet Challenge 2020, which achieves a 9.28 METEOR score on the test set.
Abstract
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.
References11 items
1
Event-Centric Hierarchical Representation for Dense Video Captioning
2
Fast Learning of Temporal Action Proposal via Dense Boundary Generator
3
Activitynet 2019 Task 3: Exploring Contexts for Dense Captioning Events in Videos
4
Streamlined Dense Video Captioning
5