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

21 Jun 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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Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Dense Video Captioning ActivityNet Captions TSRM-CMG-HRNN+SCST METEOR 9.71 # 5


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