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arXiv · 1910.05752

VATEX Captioning Challenge 2019: Multi-modal Information Fusion and Multi-stage Training Strategy for Video Captioning

Ziqi Zhang·Yaya Shi·Jiutong Wei·Chunfeng Yuan·Bing Li·Weiming Hu
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Abstract

Multi-modal information is essential to describe what has happened in a video. In this work, we represent videos by various appearance, motion and audio information guided with video topic. By following multi-stage training strategy, our experiments show steady and significant improvement on the VATEX benchmark. This report presents an overview and comparative analysis of our system designed for both Chinese and English tracks on VATEX Captioning Challenge 2019.

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Ziqi Zhang, Yaya Shi, Jiutong Wei, Chunfeng Yuan, Bing Li, Weiming Hu. 2019-10-13. VATEX Captioning Challenge 2019: Multi-modal Information Fusion and Multi-stage Training Strategy for Video Captioning. https://arxiv.org/abs/1910.05752

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