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Efficient Training of Very Deep Neural Networks for Supervised Hashing
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A Novel Visual Word Co-occurrence Model for Person Re-identification
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Difference Target Propagation
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ImageNet Large Scale Visual Recognition Challenge
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Block splitting for distributed optimization
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Artificial intelligence: A modern approach
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Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
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Gradient Flow in Recurrent Nets: The Difficulty of Learning LongTerm Dependencies
inferredcites →https://doi.org/10.1109/cvpr.2012.6247912openalex-snapshot
Supervised hashing with kernels
inferredcites →https://doi.org/10.1109/cvpr.2014.253openalex-snapshot
Fast Supervised Hashing with Decision Trees for High-Dimensional Data
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298598openalex-snapshot
Supervised Discrete Hashing
inferredcites →https://doi.org/10.1109/cvpr.2015.7298654openalex-snapshot
Hashing with binary autoencoders
inferredcites →https://doi.org/10.1109/cvpr.2015.7298681openalex-snapshot
Sparse Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7298763openalex-snapshot
Deep semantic ranking based hashing for multi-label image retrieval
inferredcites →https://doi.org/10.1109/cvpr.2015.7298862openalex-snapshot
Deep hashing for compact binary codes learning
inferredcites →https://doi.org/10.1109/cvpr.2016.649openalex-snapshot
Zero-Shot Learning via Joint Latent Similarity Embedding
inferredcites →https://doi.org/10.1109/icassp.2013.6638949openalex-snapshot
Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets
inferredcites →https://doi.org/10.1109/icassp.2015.7178689openalex-snapshot
Convergence analysis of alternating direction method of multipliers for a family of nonconvex problems
inferredcites →https://doi.org/10.1109/iccv.2015.123openalex-snapshot
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
inferredcites →https://doi.org/10.1109/iccv.2015.327openalex-snapshot
An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections
inferredcites →https://doi.org/10.1109/iccv.2015.474openalex-snapshot
Zero-Shot Learning via Semantic Similarity Embedding
inferredcites →https://doi.org/10.1109/icdm.2012.24openalex-snapshot
Deep Learning to Hash with Multiple Representations
inferredcites →https://doi.org/10.1109/tcsvt.2016.2596159openalex-snapshot
PRISM: Person Reidentification via Structured Matching
inferredcites →https://doi.org/10.1109/tip.2015.2467315openalex-snapshot
Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification
inferredcites →https://doi.org/10.1109/tpami.2012.193openalex-snapshot
Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval
inferredcites →https://doi.org/10.1109/tpami.2012.48openalex-snapshot
Semi-Supervised Hashing for Large-Scale Search
inferredcites →https://doi.org/10.1137/140990309openalex-snapshot
Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems
inferredcites →https://doi.org/10.1145/2733373.2806229openalex-snapshot
Efficient Activity Retrieval through Semantic Graph Queries
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1561/2200000016openalex-snapshot
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
inferredcites →https://doi.org/10.1561/9781601984616openalex-snapshot
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
inferredcites →https://doi.org/10.1609/aaai.v28i1.8952openalex-snapshot
Supervised Hashing for Image Retrieval via Image Representation Learning
inferredcites →https://doi.org/10.48550/arxiv.1212.5921openalex-snapshot
Distributed optimization of deeply nested systems
inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-snapshot
Auto-Encoding Variational Bayes
inferredcites →https://doi.org/10.48550/arxiv.1406.4064openalex-snapshot
Parallel Direction Method of Multipliers
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.48550/arxiv.1502.04156openalex-snapshot
Towards Biologically Plausible Deep Learning
inferredcites →https://doi.org/10.5244/c.28.6openalex-snapshot
Return of the Devil in the Details: Delving Deep into Convolutional Nets
inferredcites →https://doi.org/10.57702/o9raffedopenalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-snapshot
Learning Multiple Layers of Features from Tiny Images
inferredcites →https://doi.org/10.5860/choice.33-1577openalex-snapshot
Artificial intelligence: a modern approach
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-01216-8_19openalex-snapshot
Generative Domain-Migration Hashing for Sketch-to-Image Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-030-01228-1_21openalex-snapshot
Hashing with Binary Matrix Pursuit
inferred← citeshttps://doi.org/10.1007/978-3-030-01246-5_12openalex-snapshot
Product Quantization Network for Fast Image Retrieval
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Simulation-Based Optimization as a Service for Dynamic Data-Driven Applications Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-92273-3_1openalex-snapshot
Deep Supervised Hashing by Classification for Image Retrieval
inferred← citeshttps://doi.org/10.1007/s11042-018-6210-3openalex-snapshot
Indexing of the CNN features for the large scale image search
inferred← citeshttps://doi.org/10.1007/s11263-019-01174-4openalex-snapshot
Deep Supervised Hashing for Fast Image Retrieval
inferred← citeshttps://doi.org/10.1007/s11263-020-01315-0openalex-snapshot
Learning Multifunctional Binary Codes for Personalized Image Retrieval
inferred← citeshttps://doi.org/10.1007/s11263-020-01326-xopenalex-snapshot
Product Quantization Network for Fast Visual Search
inferred← citeshttps://doi.org/10.1007/s11263-020-01327-wopenalex-snapshot
A General Framework for Deep Supervised Discrete Hashing
inferred← citeshttps://doi.org/10.1007/s11263-020-01331-0openalex-snapshot
Weakly-supervised Semantic Guided Hashing for Social Image Retrieval
inferred← citeshttps://doi.org/10.1007/s11554-025-01724-9openalex-snapshot
SMC-YOLO: efficient object detector for underwater small sonar target
inferred← citeshttps://doi.org/10.1007/s11590-023-02026-4openalex-snapshot
Convergence rates of training deep neural networks via alternating minimization methods
inferred← citeshttps://doi.org/10.1007/s13042-021-01466-7openalex-snapshot
Concentrated hashing with neighborhood embedding for image retrieval and classification
inferred← citeshttps://doi.org/10.1016/j.cviu.2017.07.004openalex-snapshot
Large-scale image retrieval using transductive support vector machines
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117674openalex-snapshot
Deep Multi-Similarity Hashing with semantic-aware preservation for multi-label image retrieval
inferred← citeshttps://doi.org/10.1016/j.jvcir.2019.102577openalex-snapshot
Deep spatial attention hashing network for image retrieval
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.01.068openalex-snapshot
Unsupervised Orthogonal Facial Representation Extraction via image reconstruction with correlation minimization
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.12.078openalex-snapshot
Deep discrete hashing with pairwise correlation learning
inferred← citeshttps://doi.org/10.1016/j.patcog.2018.04.014openalex-snapshot
Deep CNN based binary hash video representations for face retrieval
inferred← citeshttps://doi.org/10.1088/1742-6596/1995/1/012009openalex-snapshot
Research on Data Extraction of Tibetan Dance Movements Based on Different Convolution Models
inferred← citeshttps://doi.org/10.1109/cdc45484.2021.9682842openalex-snapshot
Neural Network Training as an Optimal Control Problem : — An Augmented Lagrangian Approach —
inferred← citeshttps://doi.org/10.1109/cvpr.2017.247openalex-snapshot
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval
inferred← citeshttps://doi.org/10.1109/cvpr.2017.663openalex-snapshot
Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks
inferred← citeshttps://doi.org/10.1109/cvpr.2017.712openalex-snapshot
Binary Coding for Partial Action Analysis with Limited Observation Ratios
inferred← citeshttps://doi.org/10.1109/cvpr.2017.765openalex-snapshot
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00518openalex-snapshot
End-To-End Supervised Product Quantization for Image Search and Retrieval
inferred← citeshttps://doi.org/10.1109/icassp.2017.7952453openalex-snapshot
How should we evaluate supervised hashing?
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9413500openalex-snapshot
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training
inferred← citeshttps://doi.org/10.1109/iccv.2017.55openalex-snapshot
MIHash: Online Hashing with Mutual Information
inferred← citeshttps://doi.org/10.1109/iccvw.2017.148openalex-snapshot
Few-Shot Hash Learning for Image Retrieval
inferred← citeshttps://doi.org/10.1109/icdcs47774.2020.00047openalex-snapshot
Lynceus: Cost-efficient Tuning and Provisioning of Data Analytic Jobs
inferred← citeshttps://doi.org/10.1109/icip.2019.8803096openalex-snapshot
Deepsub: A Novel Subset Selection Framework for Training Deep Learning Architectures
inferred← citeshttps://doi.org/10.1109/icsidp47821.2019.9173008openalex-snapshot
Discrete Classification Optimization Hashing For Image Retrieval
inferred← citeshttps://doi.org/10.1109/ijcnn.2017.7966132openalex-snapshot
Learning deep representations with diode loss for quantization-based similarity search
inferred← citeshttps://doi.org/10.1109/ijcnn48605.2020.9207467openalex-snapshot
Budgeted Subset Selection for Fine-tuning Deep Learning Architectures in Resource-Constrained Applications
inferred← citeshttps://doi.org/10.1109/jbhi.2022.3140455openalex-snapshot
Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent
inferred← citeshttps://doi.org/10.1109/mci.2022.3199624openalex-snapshot
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods
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A fully recursive perceptron network architecture
inferred← citeshttps://doi.org/10.1109/tcsvt.2017.2715227openalex-snapshot
Weakly Supervised Multimodal Hashing for Scalable Social Image Retrieval
inferred← citeshttps://doi.org/10.1109/tcsvt.2018.2869921openalex-snapshot
Improved Search in Hamming Space Using Deep Multi-Index Hashing
inferred← citeshttps://doi.org/10.1109/tcsvt.2019.2891246openalex-snapshot
Bilinear Supervised Hashing Based on 2D Image Features
inferred← citeshttps://doi.org/10.1109/tcsvt.2021.3080920openalex-snapshot
A Decade Survey of Content Based Image Retrieval Using Deep Learning
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Deep Category-Level and Regularized Hashing With Global Semantic Similarity Learning
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Hierarchical Recurrent Neural Hashing for Image Retrieval With Hierarchical Convolutional Features
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Local Semantic-Aware Deep Hashing With Hamming-Isometric Quantization
inferred← citeshttps://doi.org/10.1109/tip.2019.2892703openalex-snapshot
Discrete Hashing With Multiple Supervision
inferred← citeshttps://doi.org/10.1109/tip.2023.3265262openalex-snapshot
Spherical Centralized Quantization for Fast Image Retrieval
inferred← citeshttps://doi.org/10.1109/tkde.2018.2828095openalex-snapshot
Fast Cosine Similarity Search in Binary Space with Angular Multi-Index Hashing
inferred← citeshttps://doi.org/10.1109/tkde.2022.3220683openalex-snapshot
Deep Learning for Approximate Nearest Neighbour Search: A Survey and Future Directions
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Compact Hash Codes for Efficient Visual Descriptors Retrieval in Large Scale Databases
inferred← citeshttps://doi.org/10.1109/tmm.2017.2749160openalex-snapshot
Supervised Distributed Hashing for Large-Scale Multimedia Retrieval
inferred← citeshttps://doi.org/10.1109/tmm.2023.3289765openalex-snapshot
Deep Neighborhood Structure-Preserving Hashing for Large-Scale Image Retrieval
inferred← citeshttps://doi.org/10.1109/tnnls.2019.2935118openalex-snapshot
Siamese Dilated Inception Hashing With Intra-Group Correlation Enhancement for Image Retrieval
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3054386openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tnnls.2021.3131406openalex-snapshot
Recursion Newton-Like Algorithm for l 2,0-ReLU Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/tpami.2018.2789887openalex-snapshot
Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization
inferred← citeshttps://doi.org/10.1109/tpami.2018.2833865openalex-snapshot
Unsupervised Deep Learning of Compact Binary Descriptors
inferred← citeshttps://doi.org/10.1109/tpami.2018.2858760openalex-snapshot
Learning Deep Binary Descriptor with Multi-Quantization
inferred← citeshttps://doi.org/10.1109/tpami.2018.2882816openalex-snapshot
Deep Variational and Structural Hashing
inferred← citeshttps://doi.org/10.1109/tpami.2019.2914897openalex-snapshot
Hashing with Mutual Information
inferred← citeshttps://doi.org/10.1109/tpami.2019.2917685openalex-snapshot
Recomputation of dense layers for the performance improvement of DCNN
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Fast Scalable Supervised Hashing
inferred← citeshttps://doi.org/10.1145/3343031.3350897openalex-snapshot
Generative Reconstructive Hashing for Incomplete Video Analysis
inferred← citeshttps://doi.org/10.1145/3442381.3449825openalex-snapshot
Partial-Softmax Loss based Deep Hashing
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Advanced topics in learning to hash for large-scale retrieval
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Efficient visual search in images and videos
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inferred← citeshttps://doi.org/10.48550/arxiv.1508.00217openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1606.02382openalex-snapshot
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Person Re-identification: Past, Present and Future
inferred← citeshttps://doi.org/10.48550/arxiv.1703.08919openalex-snapshot
MIHash: Online Hashing with Mutual Information
inferred← citeshttps://doi.org/10.48550/arxiv.1705.10999openalex-snapshot
Deep Supervised Discrete Hashing
inferred← citeshttps://doi.org/10.48550/arxiv.1811.08039openalex-snapshot
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training
inferred← citeshttps://doi.org/10.48550/arxiv.1901.09731openalex-snapshot
Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Networks
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Push for Quantization: Deep Fisher Hashing
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Semi-Implicit Back Propagation
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Deep Reinforcement Learning with Label Embedding Reward for Supervised Image Hashing
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On Training Implicit Models
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Parallelizable training in deep learning through local and distributed approaches
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A data mining perspective on explainable AIOps with applications to software maintenance
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