Co-attention graph convolutional network for visual question answering-Reference-Cited by-同舟云学术

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Co-attention graph convolutional network for visual question answering

Published:2023-06-20 Issue:5 Volume:29 Page:2527-2543
ISSN:0942-4962
Container-title:Multimedia Systems
language:en
Short-container-title:Multimedia Systems

Author:

Liu Chuan,Tan Ying-Ying,Xia Tian-Tian,Zhang Jiajing,Zhu Ming

Funder

Scientific research projects for graduate students of Anhui Province Education Department

National Natural Science Foundation of China

Key scientific research projects of colleges and universities in Anhui Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s00530-023-01125-7.pdf

Reference61 articles.

1. Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra, D., Zitnick, C.L., Parikh, D.: Vqa: Visual question answering. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2425–2433 (2015)

2. Li, Y., Pan, Y., Yao, T., Mei, T.: Comprehending and ordering semantics for image captioning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 17990–17999 (2022)

3. Cheng, Y., Zhu, X., Qian, J., Wen, F., Liu, P.: Cross-modal graph matching network for image-text retrieval. ACM Transact. Multimedia. Comp. Communicat. Appl. (TOMM) 18(4), 1–23 (2022)

4. Fukui, A., Park, D.H., Yang, D., Rohrbach, A., Darrell, T., Rohrbach, M.: Multimodal compact bilinear pooling for visual question answering and visual grounding. arXiv preprint arXiv:1606.01847 (2016)

5. Zhang, W., Yu, J., Hu, H., Hu, H., Qin, Z.: Multimodal feature fusion by relational reasoning and attention for visual question answering. Informat. Fusion 55, 116–126 (2020)

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