Action-centric relation transformer network for video question answering

Action-centric relation transformer network for video question answering

Video question answering (VideoQA) has emerged as a popular research topic in recent years. Enormous efforts have been devoted to developing more effective fusion strategies and better intra-modal feature preparation. To explore these issues further, we identify two key problems. (1) Current works t...

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Bibliographic Details
Main Authors: ZHANG, Jipeng, SHAO, Jie, CAO, Rui, GAO, Lianli, XU, Xing, SHEN, Heng Tao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
Knowledge discovery
multi-modal reasoning
Proposals
relation reasoning
Task analysis
temporal action detection
Video question answering
video representation
Visualization
Cognition
Encoding
Feature extraction
Broadcast and Video Studies
Databases and Information Systems
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/6020
https://ink.library.smu.edu.sg/context/sis_research/article/7023/viewcontent/Action_Centric_Relation_Video_Question_Answering_av.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/6020
https://ink.library.smu.edu.sg/context/sis_research/article/7023/viewcontent/Action_Centric_Relation_Video_Question_Answering_av.pdf

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