Exemplar-Free Deep Incremental Hashing for Efficient Image Retrieval

Author:

Jia SiyuORCID,Ma CanORCID,Li BinbinORCID,Qi ZisenORCID,Guo MengHanORCID,Ding YuORCID,Wang HaipingORCID

Publisher

Springer Nature Singapore

Reference40 articles.

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2. Weiss, Y., Torralba, A., Fergus, R.: Spectral hashing. In: Proceedings of the 21st International Conference on Neural Information Processing Systems, British Columbia, pp. 1753–1760. Curran Associates, Inc. (2008)

3. Gong, Y., Lazebnik, S., Gordo, A., et al.: Iterative quantization: a procrustean approach to learning binary codes for large-scale image retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 35(12), 2916–2929 (2013)

4. Wang, L., Pan, Y., Liu, C., et al.: Deep hashing with minimal-distance-separated hash centers. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, pp. 23455–23464. IEEE (2023)

5. Wu, D., Dai, Q., Li, B., et al.: Deep uncoupled discrete hashing via similarity matrix decomposition. ACM Trans. Multimed. Comput. Commun. Appl. 19(1), 1–22 (2023)

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