Multi-label contrastive hashing

Author:

Wei Zeqiang,Jin Kai,Zhang Zheng,Zhou Xiuzhuang

Funder

National Natural Science Foundation of China

Beijing University of Posts and Telecommunications

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference44 articles.

1. D. Wu, Z. Lin, B. Li, M. Ye, W. Wang, Deep supervised hashing for multi-label and large-scale image retrieval, in: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017, pp. 150–158.

2. Deep uniqueness-aware hashing for fine-grained multi-label image retrieval;Wu,2018

3. Improved deep hashing with soft pairwise similarity for multi-label image retrieval;Zhang;IEEE Trans. Multimed.,2019

4. F. Zhao, Y. Huang, L. Wang, T. Tan, Deep semantic ranking based hashing for multi-label image retrieval, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 1556–1564.

5. T. Yao, F. Long, T. Mei, Y. Rui, Deep semantic-preserving and ranking-based hashing for image retrieval., in: IJCAI, Vol. 1, 2016, p. 4.

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