Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu, 2016.Deep Visual-Semantic Hashing for Cross-Modal Retrieval |
Binary |
Backpropagation |
Supervised |
N/A |
Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu, 2017.Collective Deep Quantization for Efficient Cross-Modal Retrieval |
Binary |
Backpropagation |
Supervised |
N/A |
Yuan Cao; Heng Qi; Jie Gui; Keqiu Li; Yuan Yan Tang; James Tin-Yau Kwok, 2020.Learning to Hash with a Dimension Analysis-based Quantizer for Image Retrieval |
Natural Binary Code (NBC) |
N/A |
Unsupervised |
N/A |
W. Kong, W. Li, M. Guo, 2012.Manhattan Hashing for Large-Scale Image Retrieval |
Natural Binary Code (NBC) |
K-Means |
Unsupervised |
3+ |
W. Kong, W. Li, 2012.Double-Bit Quantisation for Hashing |
Binary |
Squared Error Minimisation |
Unsupervised |
2 |
Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert, 2019.Push for Quantization: Deep Fisher Hashing |
Any |
Backpropagation |
Supervised |
N/A |
S. Moran, V. Lavrenko, and M. Osborne, 2013.Neighbourhood Preserving Quantisation for LSH |
Any |
Stochastic Search |
Semi-Supervised |
1+ |
S. Moran, V. Lavrenko, and M. Osborne, 2013.Variable Bit Quantisation for LSH |
Any |
Stochastic Search + Binary Integer Linear Program |
Semi-Supervised |
Variable |
S. Moran, 2016.Learning to Project and Binarise for Hashing-Based Approximate Nearest Neighbour Search |
Natural Binary Code (NBC) |
Maximum Margin + Stochastic Search |
Semi-Supervised |
Variable |
Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin, 2019.Variable-Length Quantization Strategy for Hashing |
Any |
Greedy Strategy |
Unsupervised |
Variable |
Z. Wang, L. Duan, J. Lin, X. Wang, T. Huang and W. Gao, 2015.Hamming Compatible Quantization for Hashing |
Binary |
Squared Error Minimisation |
Unsupervised |
2 |
Z. Wang, L. Duan, T. Huang, W. Gao, 2016.Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Learning Compact Binary Codes |
Binary |
K-Means |
Unsupervised |
N/A |
C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso, 2014.Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes |
Natural Binary Code (NBC) |
Dynamic Programming |
Unsupervised |
Variable |