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In recent years, cross-modal hashing (CMH) has attracted increasing attentions, mainly because its potential ability of mapping contents from different modalities, especially in vision and language, into the same space, so that it becomes efficient in cross-modal data retrieval.
The mir flickr retrieval evaluation
Mark J Huiskes and Michael S Lew · 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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Data fusion through cross-modality metric learning using similarity-sensitive hashing
Michael M Bronstein, Alexander M Bronstein, Fabrice Michel, and Nikos Paragios · 2010
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Learning hash functions for cross-view similarity search
Shaishav Kumar and Raghavendra Udupa · 2011
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Supervised hashing with kernels
Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, and Shih-Fu Chang · 2012
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Predictable dual-view hashing
Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei, Daume Hal, and Larry Davis · 2013
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Inter-media hashing for large-scale retrieval from heterogeneous data sources
Jingkuan Song, Yang Yang, Yi Yang, Zi Huang, and Heng Tao Shen · 2013
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Learning hash codes with listwise supervision
Jun Wang, Wei Liu, Andy X Sun, and Yu-Gang Jiang · 2013
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Return of the devil in the details: Delving deep into convolutional nets
Ken Chatfield, Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman · 2014
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Collective matrix factorization hashing for multimodal data
Guiguang Ding, Yuchen Guo, and Jile Zhou · 2014
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Cross-modal retrieval with correspondence autoencoder
Fangxiang Feng, Xiaojie Wang, and Ruifan Li · 2014
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Unifying visual-semantic embeddings with multimodal neural language models
Ryan Kiros, Ruslan Salakhutdinov, and Richard S Zemel · 2014
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Discrete graph hashing
Wei Liu, Cun Mu, Sanjiv Kumar, and Shih-Fu Chang · 2014
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Fitnets: Hints for thin deep nets
Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, and Yoshua Bengio · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Large-scale supervised multimodal hashing with semantic correlation maximization
Dongqing Zhang and Wu-Jun Li · 2014
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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Semantics-preserving hashing for cross-view retrieval
Zijia Lin, Guiguang Ding, Mingqing Hu, and Jianmin Wang · 2015
Cited alongside, same era.
Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
Cited alongside, same era.
Large-scale cross-modality search via collective matrix factorization hashing
Guiguang Ding, Yuchen Guo, Jile Zhou, and Yue Gao · 2016
Cited alongside, same era.
Composite correlation quantization for efficient multimodal retrieval
Mingsheng Long, Yue Cao, Jianmin Wang, and Philip S Yu · 2016
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Sergey Zagoruyko and Nikos Komodakis · 2016
Cited alongside, same era.
Tommaso Furlanello, Zachary C Lipton, Michael Tschannen, Laurent Itti, and Anima Anandkumar · 2018
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Look, imagine and match: Improving textual-visual cross-modal retrieval with generative models
Jiuxiang Gu, Jianfei Cai, Shafiq R Joty, Li Niu, and Gang Wang · 2018
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Stack-captioning: Coarse-to-fine learning for image captioning
Jiuxiang Gu, Jianfei Cai, Gang Wang, and Tsuhan Chen · 2018
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Self-supervised adversarial hashing networks for cross-modal retrieval
Chao Li, Cheng Deng, Ning Li, Wei Liu, Xinbo Gao, and Dacheng Tao · 2018
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Cycle-consistent deep generative hashing for cross-modal retrieval
Lin Wu, Yang Wang, and Ling Shao · 2018
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Collaborative quantization for cross-modal similarity search
Ting Zhang and Jingdong Wang · 2016
Cited alongside, same era.
Self-supervised learning of visual features through embedding images into text topic spaces
Lluis Gomez, Yash Patel, Marçal Rusiñol, Dimosthenis Karatzas, and CV Jawahar · 2017
Cited alongside, same era.
Deep cross-modal hashing
Qing-Yuan Jiang and Wu-Jun Li · 2017
Cited alongside, same era.
Cross-modality binary code learning via fusion similarity hashing
Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang, and Baochang Zhang · 2017
Cited alongside, same era.
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen and Harri Valpola · 2017
Cited alongside, same era.
Online asymmetric similarity learning for cross-modal retrieval
Yiling Wu, Shuhui Wang, and Qingming Huang · 2017
Cited alongside, same era.
A gift from knowledge distillation: Fast optimization, network minimization and transfer learning
Junho Yim, Donggyu Joo, Jihoon Bae, and Junmo Kim · 2017
Cited alongside, same era.
Learning semantic structure-preserved embeddings for cross-modal retrieval
Yiling Wu, Shuhui Wang, and Qingming Huang · 2018
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Unsupervised generative adversarial cross-modal hashing
Jian Zhang, Yuxin Peng, and Mingkuan Yuan · 2018
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Attention-aware deep adversarial hashing for cross-modal retrieval
Xi Zhang, Hanjiang Lai, and Jiashi Feng · 2018
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Exploring object relation in mean teacher for cross-domain detection
Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, and Ting Yao · 2019
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Coupled cyclegan: Unsupervised hashing network for cross-modal retrieval
Chao Li, Cheng Deng, Lei Wang, De Xie, and Xianglong Liu · 2019
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Relational knowledge distillation
Wonpyo Park, Dongju Kim, Yan Lu, and Minsu Cho · 2019
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Progressive teacher-student learning for early action prediction
Xionghui Wang, Jian-Fang Hu, Jian-Huang Lai, Jianguo Zhang, and Wei-Shi Zheng · 2019
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Deep adversarial metric learning for cross-modal retrieval
Xing Xu, Li He, Huimin Lu, Lianli Gao, and Yanli Ji · 2019
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Training deep neural networks in generations: A more tolerant teacher educates better students
Chenglin Yang, Lingxi Xie, Siyuan Qiao, and Alan L Yuille · 2019
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Learning metrics from teachers: Compact networks for image embedding
Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, and Arnau Ramisa · 2019
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Semi-supervised 3d abdominal multi-organ segmentation via deep multi-planar co-training
Yuyin Zhou, Yan Wang, Peng Tang, Song Bai, Wei Shen, Elliot Fishman, and Alan Yuille · 2019
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