Matching images and texts with multi-head attention network for cross-media hashing retrieval
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference56 articles.
1. Bronstein, M.M., Bronstein, A.M., Michel, F., Paragios, N., 2010. Data fusion through cross-modality metric learning using similarity-sensitive hashing. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3594–3601.
2. Cao, Y., Liu, B., Long, M., Wang, J., 2018. Cross-modal hamming hashing. In: Proceedings of the European Conference on Computer Vision, pp. 202–218.
3. Cao, Y., Long, M., Wang, J., Han, Z., 2016. Correlation autoencoder hashing for supervised cross-modal search. In: Proceedings of the ACM International Conference on Multimedia Retrieval, pp. 197–204.
4. Cao, Y., Long, M., Wang, J., Yang, Q., Yu, P.S., 2016. Deep visual-semantic hashing for cross-modal retrieval. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1445–1454.
5. Attention, please! a survey of neural attention models in deep learning;Correia,2021
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