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Semantic-Aware Pretraining for Dense Video Captioning

2022-04-13 06:57:23
Teng Wang, Zhu Liu, Feng Zheng, Zhichao Lu, Ran Cheng, Ping Luo

Abstract

This report describes the details of our approach for the event dense-captioning task in ActivityNet Challenge 2021. We present a semantic-aware pretraining method for dense video captioning, which empowers the learned features to recognize high-level semantic concepts. Diverse video features of different modalities are fed into an event captioning module to generate accurate and meaningful sentences. Our final ensemble model achieves a 10.00 METEOR score on the test set.

Abstract (translated)

URL

https://arxiv.org/abs/2204.07449

PDF

https://arxiv.org/pdf/2204.07449.pdf


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