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Must-read papers on deep learning to hash (DeepHash)

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DeepHash-Papers

Contributed by Yue Cao <http://yue-cao.me/>_.

We release DeepHash <https://github.com/thulab/deephash>_, an open source library for deep learning to hash. This repository provides a standard deep hash training and testing framework. Currently, the implemented models in DeepHash include DHN, DQN, DVSQ, and DCH.

Any changes are welcomed.

Single-Modal Deep Hashing Methods

[AAAI 2014] Supervised Hashing via Image Representation Learning [paper <http://ss.sysu.edu.cn/%7Epy/papers/AAAI-CNNH.pdf>] [code <http://ss.sysu.edu.cn/%7Epy/CNNH/cnnh.html>] Rongkai Xia , Yan Pan, Hanjiang Lai, Cong Liu, Shuicheng Yan. [CVPR 2015] Simultaneous Feature Learning and Hash Coding with Deep Neural Networks [paper <http://arxiv.org/pdf/1504.03410v1.pdf>] Hanjiang Lai, Yan Pan, Ye Liu, Shuicheng Yan. [TIP 2015] Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification [paper <http://arxiv.org/pdf/1508.04535v2.pdf>] [code <https://github.com/ruixuejianfei/BitScalableDeepHash>] Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, Lei Zhang. [IJCAI 2015] Convolutional Neural Networks for Text Hashing [paper <http://ijcai.org/papers15/Papers/IJCAI15-197.pdf>] Jiaming Xu, PengWang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hongwei Hao. [CVPR 2015] Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval [paper <http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhao_Deep_Semantic_Ranking_2015_CVPR_paper.pdf>] [code <https://github.com/zhaofang0627/cuda-convnet-for-hashing>] Fang Zhao, Yongzhen Huang, Liang Wang, Tieniu Tan. [AAAI 2015] Deep Hashing for Compact Binary Codes Learning [paper <http://ieeexplore.ieee.org/document/7298862/>] Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, Jie Zhou. [CVPRW 2015] Deep Learning of Binary Hash Codes for Fast Image Retrieval [paper <http://www.iis.sinica.edu.tw/%7Ekevinlin311.tw/cvprw15.pdf>] [code <https://github.com/kevinlin311tw/caffe-cvprw15>] Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen. [IJCAI 2016] Feature Learning based Deep Supervised Hashing with Pairwise Labels [paper <http://cs.nju.edu.cn/lwj/paper/IJCAI16_DPSH.pdf>] [code <http://cs.nju.edu.cn/lwj/code/DPSH.zip>] Wu-Jun Li, Sheng Wang, Wang-Cheng Kang. [AAAI 2016] Deep Hashing Network for Efficient Similarity Retrieval [paper <http://ise.thss.tsinghua.edu.cn/~mlong/doc/deep-hashing-network-aaai16.pdf>] [code <https://github.com/thuml/hash-caffe>] Han Zhu, Mingsheng Long, Jiamin Wang, Yue Cao. [AAAI 2016] Deep Quantization Network for Efficient Image Retrieval [paper <http://yue-cao.me/doc/deep-quantization-networks-dqn-aaai16.pdf>] [code <https://github.com/caoyue10/cvpr17-dvsq/tree/aaai16-dqn>] Yue Cao, Mingsheng Long, Jiamin Wang, Han Zhu, Qingfu Wen. [CVPR 2016] Deep Supervised Hashing for Fast Image Retrieval [paper <http://ieeexplore.ieee.org/document/7780596/>] [code <https://github.com/lhmRyan/deep-supervised-hashing-DSH>] Haomiao Liu, Ruiping Wang, Shiguang Shan, Xilin Chen. [SIGIR 2017] Deep Semantic Hashing with Generative Adversarial Networks [paper <http://zhaofanqiu.deepfun.club/papers/SIGIR17HASH.pdf>] Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei. [CVPR 2017] Deep Visual-Semantic Quantization for Efficient Image Retrieval [paper <http://yue-cao.me/doc/deep-visual-semantic-quantization-cvpr17.pdf>] [code <https://github.com/caoyue10/cvpr17-dvsq>] Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu. [ICCV 2017] HashNet: Deep Learning to Hash by Continuation [paper <http://ise.thss.tsinghua.edu.cn/~mlong/doc/hashnet-iccv17.pdf>] [code <https://github.com/thuml/HashNet>] Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu. [CVPR 2018] HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN [paper <http://ise.thss.tsinghua.edu.cn/~mlong/doc/hashgan-cvpr18.pdf>] Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang. [CVPR 2018] Deep Cauchy Hashing for Hamming Space Retrieval [paper <http://ise.thss.tsinghua.edu.cn/~mlong/doc/deep-cauchy-hashing-cvpr18.pdf>] [code <https://github.com/thulab/DeepHash>] Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang. [CVPR 2018] Hashing as Tie-Aware Learning to Rank [paper <http://openaccess.thecvf.com/content_cvpr_2018/html/He_Hashing_as_Tie-Aware_CVPR_2018_paper.html>] [code <https://github.com/kunhe/TALR>] Kun He, Fatih Cakir, Sarah Adel Bargal, Stan Sclaroff. [ECCV 2018] Hashing with Binary Matrix Pursuit [paper <https://arxiv.org/abs/1808.01990>] [code <https://github.com/fcakir/hbmp>] Fatih Cakir, Kun He, Stan Sclaroff. [TPAMI 2019] Hashing with Mutual Information [paper <http://arxiv.org/abs/1803.00974>] [code <https://github.com/fcakir/deep-mihash/>_] Fatih Cakir*, Kun He*, Sarah Adel Bargal, Stan Sclaroff (equal contrib.).

Cross-Modal Deep Hashing Methods

[KDD 2016] Deep Visual-Semantic Hashing for Cross-Modal Retrieval [paper <http://www.kdd.org/kdd2016/papers/files/rpp0086-caoA.pdf>] Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu. [ICMR 2016] Correlation Autoencoder Hashing for Supervised Cross-Modal Search [paper <http://yue-cao.me/doc/correlation-autoencoder-hashing-cah-icmr16.pdf>] Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu. [AAAI 2017] Collective Deep Quantization for Efficient Cross-Modal Retrieval [paper <http://yue-cao.me/doc/collective-deep-quantization-aaai17.pdf>] [code <https://github.com/caoyue10/aaai17-cdq>] Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu. [CVPR 2017] Deep Cross-Modal Hashing [paper <https://cs.nju.edu.cn/lwj/paper/CVPR17_DCMH.pdf>] [code <https://cs.nju.edu.cn/lwj/code/DCMH_tensorflow.zip>] Qing-Yuan Jiang, Wu-Jun Li. [BMVC 2017] Correlation Hashing Network for Efficient Cross-Modal Retrieval [paper <https://arxiv.org/abs/1602.06697>_] Yue Cao, Mingsheng Long, Jianmin Wang.

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