HVLM: Exploring Human-Like Visual Cognition and Language-Memory Network for Visual Dialog-Reference-Cited by-同舟云学术

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HVLM: Exploring Human-Like Visual Cognition and Language-Memory Network for Visual Dialog

Published:2022-09 Issue:5 Volume:59 Page:103008
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Sun Kaili,Guo Chi,Zhang Huyin,Li Yuan

Funder

National Office for Philosophy and Social Sciences

Science and Technology Program of Hubei Province

Wuhan University

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference63 articles.

1. Agarwal, S., Bui, T., Lee, J., Konstas, I., & Rieser, V. (2020). History for Visual Dialog: Do we really need it?. In Proceedings of the annual meeting of the association for computational linguistics (pp. 8182–8197). http://dx.doi.org/10.18653/v1/2020.acl-main.728.

2. Anderson, P., He, X., Buehler, C., Teney, D., Johnson, M., Gould, S., & Zhang, L. (2018). Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. In Proceedings of the IEEE Conference on computer vision and pattern recognition (pp. 6077–6086). http://dx.doi.org/10.1109/CVPR.2018.00636.

3. Chen, F., Chen, X., Meng, F., Li, P., & Zhou, J. (2021). GoG: Relation-aware Graph-over-Graph Network for Visual Dialog. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.), Proceedings of the findings of the association for computational linguistics: ACL/IJCNLP, vol. ACL/IJCNLP 2021 (pp. 230–243). http://dx.doi.org/10.18653/v1/2021.findings-acl.20.

4. Chen, F., Chen, X., Xu, C., & Jiang, D. (2021). Learning to Ground Visual Objects for Visual Dialog. In Proceedings of the findings of the association for computational linguistics (pp. 1081–1091).

5. Chen, F., Meng, F., Xu, J., Li, P., Xu, B., & Zhou, J. (2020). DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog. In Proceedings of the conference on artificial intelligence (pp. 7504–7511).

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