Multi-scale network with shared cross-attention for audio–visual correlation learning-Reference-Cited by-同舟云学术

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Multi-scale network with shared cross-attention for audio–visual correlation learning

Published:2023-07-19 Issue:27 Volume:35 Page:20173-20187
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Zhang Jiwei,Yu Yi^ORCID,Tang Suhua,Li Wei,Wu Jianming

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-08817-1.pdf

Reference42 articles.

1. Zhen L, Hu P, Wang X, Peng D (2019) Deep supervised cross-modal retrieval. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10394–10403

2. Wang B, Yang Y, Xu X, Hanjalic A, Shen HT (2017) Adversarial cross-modal retrieval. In: Proceedings of the 25th ACM International Conference on Multimedia, pp. 154–162

3. Wang K, He R, Wang L, Wang W, Tan T (2015) Joint feature selection and subspace learning for cross-modal retrieval. IEEE Trans. Patt. Anal. Mach. Intell. 38(10):2010–2023

4. Lai PL, Fyfe C (2000) Kernel and nonlinear canonical correlation analysis. Int J Neural Syst 10(05):365–377

5. Wang B, Yang Y, Xu X, Hanjalic A, Shen HT (2017) Adversarial cross-modal retrieval. In: Proceedings of the 25th ACM International Conference on Multimedia, pp. 154–162

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Triplet Loss with Curriculum Learning for Audio-Visual Retrieval;2023 IEEE International Symposium on Multimedia (ISM);2023-12-11

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