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This technical report presents a brief description of our submission to the dense video captioning task of ActivityNet Challenge 2020.
Cuhk & ethz & siat submission to activitynet challenge 2016
Y. Xiong, L. Wang, Z. Wang, B. Zhang, H. Song, W. Li, D. Lin, Y. Qiao, L. Van Gool, and X. Tang · 2016
Earlier work this paper cites.
Video paragraph captioning using hierarchical recurrent neural networks
H. Yu, J. Wang, Z. Huang, Y. Yang, and W. Xu · 2016
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Dense-captioning events in videos
R. Krishna, K. Hata, F. Ren, L. Fei-Fei, and J. C. Niebles · 2017
Earlier work this paper cites.
Self-critical sequence training for image captioning
S. J. Rennie, E. Marcheret, Y. Mroueh, J. Ross, and V. Goel · 2017
Earlier work this paper cites.
Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
Cited alongside, same era.
Bidirectional attentive fusion with context gating for dense video captioning
J. Wang, W. Jiang, L. Ma, W. Liu, and Y. Xu · 2018
Cited alongside, same era.
Hierarchical context encoding for events captioning in videos
D. Yang and C. Yuan · 2018
Cited alongside, same era.
Activitynet 2019 task 3: Exploring contexts for dense captioning events in videos
S. Chen, Y. Song, Y. Zhao, Q. Jin, Z. Zeng, B. Liu, J. Fu, and A. Hauptmann · 2019
Cited alongside, same era.
Fast learning of temporal action proposal via dense boundary generator
C. Lin, J. Li, Y. Wang, Y. Tai, D. Luo, Z. Cui, C. Wang, J. Li, F. Huang, and R. Ji · 2019
Later among the works it cites.
Streamlined dense video captioning
J. Mun, L. Yang, Z. Ren, N. Xu, and B. Han · 2019
Later among the works it cites.
Event-centric hierarchical representation for dense video captioning
T. Wang, H. Zheng, M. Yu, Q. Tian, and H. Hu · 2020
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