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On Learning Semantic Representations for Million-Scale Free-Hand Sketches [article]

Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang
2020 arXiv   pre-print
Specifically, we use our dual-branch architecture as a universal representation framework to design two sketch-specific deep models: (i) We propose a deep hashing model for sketch retrieval, where a novel  ...  Based on this architecture, we further explore learning the sketch-oriented semantic representations in two challenging yet practical settings, i.e., hashing retrieval and zero-shot recognition on million-scale  ...  Deep Hashing Learning Hashing is an important research topic for fast image retrieval.  ... 
arXiv:2007.04101v1 fatcat:cng2cw6r5fg43p5erfisj57tu4

SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval

Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
We propose a deep hashing framework for sketch retrieval that, for the first time, works on a multi-million scale human sketch dataset.  ...  By working with a 3.8M sketch dataset, we show that state-of-the-art hashing models specifically engineered for static images fail to perform well on temporal sketch data.  ...  We show that it is superior to all existing models when re-purposed for the sketch recognition task. Deep Hashing Learning Hashing is an important research topic for fast image retrieval.  ... 
doi:10.1109/cvpr.2018.00844 dblp:conf/cvpr/0005HYPSXHM018 fatcat:4ec6rhsmnjf7rckiv6nmpofiem

SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval [article]

Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo
2018 arXiv   pre-print
We propose a deep hashing framework for sketch retrieval that, for the first time, works on a multi-million scale human sketch dataset.  ...  By working with a 3.8M sketch dataset, we show that state-of-the-art hashing models specifically engineered for static images fail to perform well on temporal sketch data.  ...  We show that it is superior to all existing models when re-purposed for the sketch recognition task. Deep Hashing Learning Hashing is an important research topic for fast image retrieval.  ... 
arXiv:1804.01401v1 fatcat:mjxtnavc7verfgvjhpec4qjqju

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TMM 2021 636-650 Deep Hashing With Weighted Spatial Importance. Shi, Y., +, TMM 2021 3778-3792 Deep Unsupervised Self-Evolutionary Hashing for Image Retrieval.  ...  ., +, TMM 2021 4388-4399 Learning to Hash With Dimension Analysis Based Quantizer for Image Retrieval.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

2020 Index IEEE Transactions on Multimedia Vol. 22

2020 IEEE transactions on multimedia  
., +, TMM April 2020 1016-1031 Deep Dual-Channel Neural Network for Image-Based Smoke Detection.  ...  ., +, TMM Aug. 2020 2048-2060 Improved Deep Hashing With Soft Pairwise Similarity for Multi-Label Image Retrieval.  ...  Image watermarking Blind Watermarking for 3-D Printed Objects by Locally Modifying Layer Thickness. 2780 -2791 Low-Light Image Enhancement With Semi-Decoupled Decomposition.  ... 
doi:10.1109/tmm.2020.3047236 fatcat:llha6qbaandfvkhrzpe5gek6mq

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIP 2021 1570-1582 Face Video Retrieval Based on the Deep CNN With RBF Loss.  ...  ., +, TIP 2021 7926-7937 Learning Efficient Hash Codes for Fast Graph-Based Data Similarity Retrieval.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Front Matter: Volume 10615

Hui Yu, Junyu Dong
2018 Ninth International Conference on Graphic and Image Processing (ICGIP 2017)  
The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.  ...  seven-digit CID article numbering system structured as follows:  The first five digits correspond to the SPIE volume number.  The last two digits indicate publication order within the volume using a Base  ...  eggs based on fully convolutional networks 10615 2DA kind of color image segmentation algorithm based on super-pixel and PCNN FACE RECOGNITION 10615 0L Deep classification hashing for person re-identification  ... 
doi:10.1117/12.2316542 fatcat:tdaw76jq6nehpnttiga2lcuhna

Gaussian process decentralized data fusion meets transfer learning in large-scale distributed cooperative perception

Ruofei Ouyang, Bryan Kian Hsiang Low
2019 Autonomous Robots  
, Long Chen* Dual Attention Network for Product Compatibility and Function Satisfiability Analysis Hu Xu*, Sihong XIe, Shu Lei, Philip Yu Dual Deep Neural Networks Cross-Modal Hashing Zhenduo Chen, Wanjin  ...  Distribution Regularization Yijun Wang*, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Tie-Yan Liu, Guiquan Liu Dual-reference Face Retrieval BingZhang Hu, Feng Zheng, Ling Shao* Duplicate Question Identification  ... 
doi:10.1007/s10514-018-09826-z fatcat:67yqhwmgozccxni56rxmuapjgm

Recent Advance in Content-based Image Retrieval: A Literature Survey [article]

Wengang Zhou, Houqiang Li, Qi Tian
2017 arXiv   pre-print
Numerous techniques have been developed for content-based image retrieval in the last decade.  ...  Content-based image retrieval (CBIR), which makes use of the representation of visual content to identify relevant images, has attracted sustained attention in recent two decades.  ...  In [21] , Zhang et al. proposed a new query-sensitive ranking algorithm to rank PCA-based binary hash codes to search for ǫ-neighbors for image retrieval.  ... 
arXiv:1706.06064v2 fatcat:m52xwsw5pzfzdbxo5o6dye2gde

Content-Based Image Retrieval and Feature Extraction: A Comprehensive Review

Afshan Latif, Aqsa Rasheed, Umer Sajid, Jameel Ahmed, Nouman Ali, Naeem Iqbal Ratyal, Bushra Zafar, Saadat Hanif Dar, Muhammad Sajid, Tehmina Khalil
2019 Mathematical Problems in Engineering  
In the last two decades, extensive research is reported for content-based image retrieval (CBIR), image classification, and analysis.  ...  We analyzed the main aspects of various image retrieval and image representation models from low-level feature extraction to recent semantic deep-learning approaches.  ...  Based on this approach, the supervised deep hashing technique constructs a hash function from a latent layer in the deep neurons network and the binary code is learned from the objective functions that  ... 
doi:10.1155/2019/9658350 fatcat:dncplhkm6vcrvfh3q7ifxkrdkq

Deep Learning for Free-Hand Sketch: A Survey [article]

Peng Xu, Timothy M. Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, Liang Wang
2022 arXiv   pre-print
(iii) Promotion of future work via a discussion of bottlenecks, open problems, and potential research directions for the community.  ...  The progress of deep learning has immensely benefited free-hand sketch research and applications.  ...  Their deep sketch hashing used a dual-branch CNN-RNN network to exploit both global appearance and local sequential stroke information, as well as a new center loss variant to ensure the learned embedding  ... 
arXiv:2001.02600v3 fatcat:lek5sivzsrat3i52lqh2eifnia

Learning to Hash for Indexing Big Data - A Survey [article]

Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang
2015 arXiv   pre-print
In response, Approximate Nearest Neighbor (ANN) search based on hashing techniques has become popular due to its promising performance in both efficiency and accuracy.  ...  In addition, we also summarize recent hashing approaches utilizing the deep learning models. Finally, we discuss the future direction and trends of research in this area.  ...  large-scale image retrieval with the learned binary image representation.  ... 
arXiv:1509.05472v1 fatcat:haj52w3cbbgszlmalfyu2kvzde

Learning to Hash for Indexing Big Data—A Survey

Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang
2016 Proceedings of the IEEE  
In response, approximate nearest neighbor (ANN) search based on hashing techniques has become popular due to its promising performance in both efficiency and accuracy.  ...  In addition, we also summarize recent hashing approaches utilizing the deep learning models. Finally, we discuss the future direction and trends of research in this area.  ...  large-scale image retrieval with the learned binary image representation.  ... 
doi:10.1109/jproc.2015.2487976 fatcat:4eok2ubzxnc5nmc4hgt4qmqhcy

2020 Index IEEE Transactions on Cybernetics Vol. 50

2020 IEEE Transactions on Cybernetics  
., Reference Trajectory Reshaping Optimi-zation and Control of Robotic Exoskeletons for Human-Robot Co-Manipulation; TCYB Aug. 2020 3740-3751 Wu, X., Jiang, B., Yu, K., Miao, c., and Chen, H  ...  ., +, TCYB July 2020 3243-3253 Hash functions Discrete Semantic Alignment Hashing for Cross-Media Retrieval.  ...  ., +, TCYB April 2020 1460-1472 Intraspectrum Discrimination and Interspectrum Correlation Analysis Deep Network for Multispectral Face Recognition.  ... 
doi:10.1109/tcyb.2020.3047216 fatcat:5giw32c2u5h23fu4drupnh644a

2021 Index IEEE Signal Processing Letters Vol. 28

2021 IEEE Signal Processing Letters  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, LSP 2021 738-742 Efficient Non-Targeted Attack for Deep Hashing Based Image Retrieval.  ...  Deep Hashing Based Image Retrieval; LSP 2021 1893-1897 Qiu, L., see Jiang, X., LSP 2021 76-80 Qiu, Y., Chen, J., Wang, Z., Wang, X., and Lin, C., Spatio-Spectral Feature Fusion for Low-Light Image Enhancement  ... 
doi:10.1109/lsp.2022.3145253 fatcat:a3xqvok75vgepcckwnhh2mty74
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