Video Captioning Using Global-Local Representation-Reference-Cited by-同舟云学术

Video Captioning Using Global-Local Representation

Published:2022-10 Issue:10 Volume:32 Page:6642-6656
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Yan Liqi¹^ORCID,Ma Siqi²,Wang Qifan³^ORCID,Chen Yingjie⁴^ORCID,Zhang Xiangyu⁴,Savakis Andreas⁵^ORCID,Liu Dongfang⁵

Affiliation:

1. Westlake Institute for Advanced Study, Fudan University, Shanghai, China

2. School of Engineering, Westlake University, Hangzhou, China

3. Meta AI, Menlo Park, CA, USA

4. Department of Computer Graphics Technology, Purdue University, West Lafayette, IN, USA

5. Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, USA

Funder

U.S. National Institute of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/9910246/09780119.pdf?arnumber=9780119

Reference93 articles.

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3. Memory-Attended Recurrent Network for Video Captioning

4. Sequence-to-Sequence Learning as Beam-Search Optimization

5. Simple statistical gradient-following algorithms for connectionist reinforcement learning

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