Cross-Modal Hashing
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-37291-9_3
Reference53 articles.
1. Peng, Y., Huang, X., & Zhao, Y. (2018). An overview of cross-media retrieval: Concepts, Methodologies, benchmarks, and challenges. IEEE Transactions on Circuits and Systems for Video Technology, 28(9), 2372–2385.
2. Wang, J., Zhang, T., Sebe, N., & Shen, H. T. (2018) A survey on learning to hash. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(4), 769–790.
3. Zhou, J., Ding, G., & Guo, Y. (2014). Latent semantic sparse hashing for cross-modal similarity search. In Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 415–424).
4. Jiang, Q. Y., & Li, W. J. (2017). Deep cross-modal hashing. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 3232–3240).
5. Su, S., Zhong, Z., & Zhang, C. (2019). Deep joint-semantics reconstructing hashing for large-scale unsupervised cross-modal retrieval. In Proceedings of IEEE International Conference on Computer Vision (pp. 3027–3035).
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