Deep hashing for compact binary codes learning

ImageNet classification with deep convolutional neural networks

Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155

Learning Multiple Layers of Features from Tiny Images

Krizhevsky, A. (2024) · doi:10.57702/zp44cu3g · Cited by 23,889

Reducing the dimensionality of data with neural networks

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Learning Deep Architectures for AI

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DeepFace: Closing the Gap to Human-Level Performance in Face Verification

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Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope

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3D Convolutional Neural Networks for Human Action Recognition

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Learning Deep Architectures for AI

Bengio, Y. (2009) · now publishers, Inc. eBooks · doi:10.1561/9781601982957 · Cited by 5,050

Image retrieval

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Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

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Hashing for Multimedia Similarity Modeling and Large-Scale Retrieval

Li, K. (2017) · Journal of International Crisis and Risk Communication Research

Set-to-Set Hashing with Applications in Visual RecognitionPreprint

Jhuo, I., & Wang, J. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1711.00888

Towards ECDSA key derivation from deep embeddings for novel Blockchain applicationsPreprint

Perone, C. S. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1711.04069 · Cited by 1

Supervised deep hashing for image content security

Ma, Y., Yang, D., Xie, H., & Yin, J. P. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-5433-z

Convolutional Hashing for Automated Scene MatchingPreprint

Loncaric, M., Liu, B., & Weber, R. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1802.03101

DDSH: Deep Distribution-Separating Hashing for Image Retrieval

Chen, J., & Wang, A. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-77383-4_55

MMH: Multi-Modal Hash for Instant Mobile Video Search

Gao, W., Liu, X., Ma, H., Li, Y., & Liu, L. (2018) · IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) · doi:10.1109/mipr.2018.00018

Kernelized Hashcode Representations for Biomedical Relation ExtractionPreprint

Garg, S., Galstyan, A., Steeg, G. V., Rish, I., Cecchi, G., & Gao, S. (2017) · arXiv (Cornell University)

Image Retrieval Using Inception Structure with Hash Layer for Intelligent Monitoring Platform

Qiang, B., Shi, X., Wang, Y., Xu, Z. J., Xie, W., Chen, X., Zhao, X., & Zhou, X. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-15093-8_35

Binary Stochastic Representations for Large Multi-class ClassificationPreprint

Gerald, T., Léon, A., Baskiotis, N., & Denoyer, L. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1906.09838

Compact feature learning for multimedia retrieval

Liong, V. E. (2019) · doi:10.32657/10220/48655

Fine-granularity ownership identification of multimedia content components: a mechanism for smart media streaming

Mou, L., Liu, H., Ji, H., Huang, T., & Gao, W. (2019) · IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) · doi:10.1109/mipr.2019.00114

Fast and Efficient Image Retrieval via Fully-Convolutional Hashing Network

Fan, W., Liu, Q., & Xu, T. (2018) · International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) · doi:10.1109/spac46244.2018.8965490

Towards Learning Compact Visual Embeddings using Deep Neural Networks

Gattupalli, J. V. R. (2019) · Arizona State University Library Digital Repository (Arizona State University)

Learning to hash with semantic similarity metrics and empirical KL divergencePreprint

Arponen, H., & Bishop, T. E. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2005.04917

Unsupervised Deep Embedded Hashing for Large-Scale Image Retrieval

Wang, H. (2020) · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences · doi:10.1587/transfun.2020eal2056

Deep Reinforcement Learning with Label Embedding Reward for Supervised Image HashingPreprint

Wang, Z., Hong, W., & Yuan, J. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2008.03973

Binarized Attributed Network Embedding via Neural Networks

Xia, H., Gao, N., Peng, J., Mo, J., & Wang, J. (2020) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn48605.2020.9206717

Interpretable and effective hashing via Bernoulli variational auto-encoders

Mena, F., Ñanculef, R., & Valle, C. (2020) · Intelligent Data Analysis · doi:10.3233/ida-200013

Binarized Weight Error Networks With a Transition Regularization TermPreprint

Özkan, S., & Akar, G. B. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.03897

Unsupervised Representation Learning via Neural Activation CodingPreprint

Park, Y., Lee, S.-H., Kim, G., & Blei, D. M. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2112.04014 · Cited by 1

Representation Learning with Adversarial Latent Autoencoders

Pidhorskyi, S. (2020) · doi:10.33915/etd.7810

Distance metric learning for visual recognition

Hu, J. (2018) · doi:10.32657/10356/73159

Large-scale indexing of high dimensional data via nearest neighbor graphs

Muñoz, J. A. V. (2020) · doi:10.47749/t/unicamp.2020.1129107

Database Concentration Method for Efficient Image Retrieval Using Clustering and Image Tag Comparison

Shimgekar, S. R., Pathi, P. R., & Vijayarajan, V. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-05767-0_18

Medical Diagnosis Using Image-Based Deep Learning and Supervised Hashing Approach

Dureja, A., & Pahwa, P. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-19-4831-2_30

Hadamard-Coded Supervised Discrete Hashing on Complex and Quaternion Domain

Sueyasu, M., Kyochi, S., & Koutaki, G. (2022) · Proceedings - International Conference on Image Processing · doi:10.1109/icip46576.2022.9897327

Unified Energy-Based Generative Network for Supervised Image Hashing

Doan, K. D., Badirli, S., & Reddy, C. K. A. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-26351-4_32

Weighted Contrastive Hashing

Yu, J., Qiu, H., Chen, D., & Zhang, H. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-26348-4_15

Deep Multi-Scale Hashing for Image Retrieval (DMSH)

Redaoui, A., Belloulata, K., & Belalia, A. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-28540-0_4

Research on Multimodal Retrieval Method Based on Commodity Images

Zhang, X., Chen, M., Jiao, M., & zhao, Z. (2023) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-031-43247-7_46

Visual-Semantics Embedding for Deep Hashing-Based Multi-Label Video RetrievalPreprint

Yue, Y., Zou, Q., Cao, L., Yu, H., Chen, C., & Li, N. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4663643

An Active Storage System for Intelligent Data Analysis and Management

Liang, S., Wang, Y., Dai, L., Chen, Y., Chen, R., Zhang, F., Zhang, G., Li, H., & Li, X. (2023) · Springer eBooks · doi:10.1007/978-3-031-42478-6_6

Generative Enhancement-based Similarity Prediction Hashing for Image Retrieval

Cao, Y., Meng, F., Wu, X., & Wang, Z. J. (2023) · IEEE International Conference on Parallel and Distributed Systems (ICPADS) · doi:10.1109/icpads60453.2023.00204

Inductive Structure Consistent Hashing

Zhang, Z. (2024) · Springer eBooks · doi:10.1007/978-981-97-2112-2_3

A Deep Video Hashing Algorithm Based on CNNs

Wang, B. (2024) · IEEE International Conference on Communication Systems and Network Technologies (CSNT) · doi:10.1109/csnt60213.2024.10545876

Ensemble learning framework for image retrieval via hash centers

Zhao, Y. C., Meng, H., & Xue, L. (2024) · Journal of Electronic Imaging · doi:10.1117/1.jei.33.6.063060

Biometric Encryption

Uhl, A., & Rathgeb, C. (2025) · Springer eBooks · doi:10.1007/978-3-030-71522-9_1519

Deep hash networks with cross-scale feature fusion for optimal binary encoding

Li, J., Hong, C., Huang, P., Wang, X., & Ran, L. (2024) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-237502

Convolution Autoencoder based Classification Model for Content Based Image Retrieval

Rai, R., & Sisodia, D. S. (2025) · Procedia Computer Science · doi:10.1016/j.procs.2025.04.438

Hybrid Multi-Granularity Approach for Few-Shot Image Retrieval with Weak Features

Lu, A., Li, Z., Liu, Y., Liu, P., & Wang, K. (2025) · Algorithms · doi:10.3390/a18060329

Perceptual Hashing using Deep Learning Techniques

Kashyap, S. S., & Neog, P. S. (2025) · IEEE India Council International Subsections Conference (INDISCON) · doi:10.1109/indiscon66021.2025.11254621

Hash Tables as Engines of Randomness at the Limits of Computation: A Unified Review of Algorithms

Gagniuc, P. A., & Togan, M. (2025) · Algorithms · doi:10.3390/a18120804

Contributions to unsupervised learning from massive high-dimensional data streams : structuring, hashing and clustering

Morvan, A. (2018) · theses.fr (ABES) · doi:10.70675/d4e37be4z088dz445bz816fz7fbe9efd3995

Memorization and learning to index with neural network

Sablayrolles, A. (2020) · theses.fr (ABES) · doi:10.70675/4f00f478z9a1cz4df6z8444zddc40d1e597b

A data mining perspective on explainable AIOps with applications to software maintenance

Remil, Y. (2023) · theses.fr (ABES) · doi:10.70675/e9f55171z8c4bz4857zb3e9ze9cd021af653 · Cited by 1

Deep Hashing for Scalable Image Search

Lu, J., Liong, V. E., & Zhou, J. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2678163 · Cited by 130

Compact Hash Code Learning With Binary Deep Neural Network

Do, T.-T., Hoang, T., Tan, D.-K. L., Doan, A.-D., & Cheung, N. M. (2019) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2019.2935680 · Cited by 23

Discrete Hashing with Deep Neural NetworkPreprint

Do, T.-T., Doan, A.-Z., & Cheung, N. M. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1508.07148 · Cited by 9

Supervised deep hashing with a joint deep network

Chen, Y., Lu, X., & Li, X. (2020) · Pattern Recognition · doi:10.1016/j.patcog.2020.107368 · Cited by 35

Binary Constrained Deep Hashing Network for Image Retrieval without Human Intervention.Preprint

Do, T.-T., Tan, D.-K. L., Pham, T. T., Hoang, T., & Cheung, N. M. (2018) · arXiv (Cornell University)