Robust Visual Question Answering: Datasets, Methods, and Future Challenges-Reference-Cited by-同舟云学术

Robust Visual Question Answering: Datasets, Methods, and Future Challenges

Published:2024-08 Issue:8 Volume:46 Page:5575-5594
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Ma Jie¹^ORCID,Wang Pinghui¹^ORCID,Kong Dechen²^ORCID,Wang Zewei²^ORCID,Liu Jun³^ORCID,Pei Hongbin¹^ORCID,Zhao Junzhou¹^ORCID

Affiliation:

1. Ministry of Education of Key Laboratory for Intelligent Networks and Network Security, School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China

2. Ministry of Education of Key Laboratory for Intelligent Networks and Network Security, School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China

3. Shannxi Provincial Key Laboratory of Big Data Knowledge Engineering, School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi

Youth Innovation Team of Shaanxi Universities

Shaanxi Undergraduate and Higher Education Teaching Reform Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/34/10582780/10438044.pdf?arnumber=10438044

Reference198 articles.

1. VQA: Visual Question Answering

2. Visual question answering: Datasets, algorithms, and future challenges

3. Older Adults’ Interaction With Intelligent Virtual Assistants: The Role of Information Modality and Feedback

4. Evaluating Recommender Systems: Survey and Framework

5. Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys