Cross-modal retrieval based on shared proxies
Author:
Funder
Natural Science Foundation of China
Guangzhou Municipal Science and Technology Bureau
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13735-023-00316-2.pdf
Reference66 articles.
1. Arya D, Rudinac S, Worring M (2019) HyperLearn: A distributed approach for representation learning in datasets with many modalities. In: Proceedings of the 27th ACM International Conference on Multimedia, MM 2019, pp 2245–2253. ACM, Nice, France
2. Lan R, Tan Y, Wang X, Liu Z, Luo X (2022) Label guided discrete hashing for cross-modal retrieval. IEEE Trans Intell Transp Syst 23(12):25236–25248
3. Cheng Q, Tan Z, Wen K, Chen C, Gu X (2023) Semantic pre-alignment and ranking learning with unified framework for cross-modal retrieval
4. Wang B, Yang Y, Xu X, Hanjalic A, Shen HT (2017) Adversarial cross-modal retrieval. In: Liu Q, Lienhart R, Wang H, Chen SK, Boll S, Chen YP, Friedland G, Li J, Yan S (eds) Proceedings of the 2017 ACM on Multimedia Conference, MM, pp 154–162. ACM, Mountain View. https://doi.org/10.1145/3123266.3123326
5. Yuxin P, Jinwei Q, Xin H, Yuxin Y (2017) CCL: cross-modal correlation learning with multigrained fusion by hierarchical network. IEEE Trans Multimedia 20(2):405–420. https://doi.org/10.1109/TMM.2017.2742704
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