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Learning to hash pictures a list-wise sorting problem.
Similarity search in high dimensions via hashing
Aristides Gionis, Piotr Indyk, Rajeev Motwani, et al · 1999
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Dimensionality reduction by learning an invariant mapping
Raia Hadsell, Sumit Chopra, and Yann LeCun · 2006
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Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton · 2008
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Nus-wide: a real-world web image database from national university of singapore
Tat-Seng Chua, Jinhui Tang, Richang Hong, Haojie Li, Zhiping Luo, and Yantao Zheng · 2009
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Learning multiple layers of features from tiny images
Alex Krizhevsky and Geoffrey Hinton · 2009
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Hashing with graphs
Wei Liu, Jun Wang, Sanjiv Kumar, and Shih-Fu Chang · 2011
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Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval
Y. Gong, S. Lazebnik, A. Gordo, and F. Perronnin · 2013
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Discrete graph hashing
Wei Liu, Cun Mu, Sanjiv Kumar, and Shih-Fu Chang · 2014
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Deep hashing for compact binary codes learning
Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, and Jie Zhou · 2015
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2015
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Learning compact binary descriptors with unsupervised deep neural networks
Kevin Lin, Jiwen Lu, Chu-Song Chen, and Jie Zhou · 2016
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Stochastic generative hashing
Bo Dai, Ruiqi Guo, Sanjiv Kumar, Niao He, and Le Song · 2017
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Unsupervised deep generative adversarial hashing network
Kamran Ghasedi Dizaji, Feng Zheng, Najmeh Sadoughi, Yanhua Yang, Cheng Deng, and Heng Huang · 2018
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Representation learning with contrastive predictive coding
Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Unsupervised deep hashing with similarity-adaptive and discrete optimization
Distillhash: Unsupervised deep hashing by distilling data pairs
Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, and Dacheng Tao · 2019
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Fast differentiable sorting and ranking
Mathieu Blondel, Olivier Teboul, Quentin Berthet, and Josip Djolonga · 2020
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Improved baselines with momentum contrastive learning
Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He · 2020
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Supervised contrastive learning
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, and Dilip Krishnan · 2020
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Softsort: A continuous relaxation for the argsort operator
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Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, and Heng Tao Shen · 2018
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Binary generative adversarial networks for image retrieval
Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Alan Hanjalic, and Heng Tao Shen · 2018
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Greedy hash: Towards fast optimization for accurate hash coding in cnn
Shupeng Su, Chao Zhang, Kai Han, and Yonghong Tian · 2018
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Unsupervised feature learning via non-parametric instance discrimination
Zhirong Wu, Yuanjun Xiong, Stella X Yu, and Dahua Lin · 2018
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Bingan: Learning compact binary descriptors with a regularized gan
Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, and Tomasz Trzcinski · 2018
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Unsupervised binary representation learning with deep variational networks
Yuming Shen, Li Liu, and Ling Shao · 2019
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Ranked list loss for deep metric learning
Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, and Neil M Robertson · 2019
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Sebastian Prillo and Julian Eisenschlos · 2020
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Auto-encoding twin-bottleneck hashing
Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, and Ling Shao · 2020
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Mls3rduh: Deep unsupervised hashing via manifold based local semantic similarity structure reconstructing
Rong-Cheng Tu, Xianling Mao, and Wei Wei · 2020
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Deep unsupervised image hashing by maximizing bit entropy
Yunqiang Li and Jan van Gemert · 2021
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A statistical approach to mining semantic similarity for deep unsupervised hashing
Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Minghua Deng, Jianqiang Huang, and Xian-Sheng Hua · 2021
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Cimon: Towards high-quality hash codes
Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Huasong Zhong, Minghua Deng, Jianqiang Huang, and Xian-sheng Hua · 2021
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Unsupervised hashing with contrastive information bottleneck
Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, and Changyou Chen · 2021
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