Multi-head Hashing with Orthogonal Decomposition for Cross-modal Retrieval

Author:

Liu Wei,Li Jun,Wu Zhijian,Xu Jianhua,Yang Bo

Publisher

Springer Nature Switzerland

Reference31 articles.

1. Bai, C., Zeng, C., Ma, Q., Zhang, J., Chen, S.: Deep adversarial discrete hashing for cross-modal retrieval. In: International Conference on Multimedia Retrieval, pp. 525–531 (2020)

2. Cao, Y., Liu, B., Long, M., Wang, J.: Cross-modal hamming hashing. In: European Conference on Computer Vision, pp. 207–223 (2018)

3. Chua, T.S., Tang, J., Hong, R., Li, H., Luo, Z., Zheng, Y.: NUS-WIDE: a real-world web image database from national university of Singapore. In: ACM International Conference on Image and Video Retrieval, pp. 368–375 (2009)

4. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: North American Chapter of the Association for Computational Linguistics, pp. 4171–4186 (2019)

5. Dosovitskiy, A., et al.: An image is worth 16x16 words: transformers for image recognition at scale. In: International Conference on Learning Representations, pp. 1–22 (2021)

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