Papers › Dense-Captioning Events in Videos: SYSU Submission to ActivityNet Challenge 2020
Dense-Captioning Events in Videos: SYSU Submission to ActivityNet Challenge 2020
Teng Wang, Huicheng Zheng, Mingjing Yu
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.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Dense Video Captioning | ActivityNet Captions | TSRM-CMG-HRNN+SCST | METEOR | 9.71 | #5 of 12 | Archive leaderboard | report |
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