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Trends in Vehicle Re-Identification Past, Present, and Future: A Comprehensive Review
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-00563-4_6openalex-snapshot
Visual Cognition Inspired Vehicle Re-identification via Correlative Sparse Ranking with Multi-view Deep Features
inferredcites →https://doi.org/10.1007/978-3-030-00764-5_32openalex-snapshot
SCAN: Spatial and Channel Attention Network for Vehicle Re-Identification
inferredcites →https://doi.org/10.1007/978-3-030-05716-9_35openalex-snapshot
Poses Guide Spatiotemporal Model for Vehicle Re-identification
inferredcites →https://doi.org/10.1007/978-3-030-12939-2_26openalex-snapshot
Vehicle Re-identification in Context
inferredcites →https://doi.org/10.1007/978-3-030-20890-5_37openalex-snapshot
Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_1openalex-snapshot
Person Re-Identification Using Kernel-Based Metric Learning Methods
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_53openalex-snapshot
A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance
inferredcites →https://doi.org/10.1007/978-3-540-39964-3_62openalex-snapshot
KNN Model-Based Approach in Classification
inferredcites →https://doi.org/10.1007/s00521-020-05108-xopenalex-snapshot
Multi-scale attention vehicle re-identification
inferredcites →https://doi.org/10.1007/s10044-016-0559-6openalex-snapshot
Car make and model recognition under limited lighting conditions at night
inferredcites →https://doi.org/10.1007/s11036-020-01561-zopenalex-snapshot
Joint Pyramid Feature Representation Network for Vehicle Re-identification
inferredcites →https://doi.org/10.1007/s11042-018-6270-4openalex-snapshot
VRSDNet: vehicle re-identification with a shortly and densely connected convolutional neural network
inferredcites →https://doi.org/10.1007/s11042-020-09859-6openalex-snapshot
Nonlinear dimensionality reduction in robot vision for industrial monitoring process via deep three dimensional Spearman correlation analysis (D3D-SCA)
inferredcites →https://doi.org/10.1007/s11704-010-0378-7openalex-snapshot
Visual data security and management for smart cities
inferredcites →https://doi.org/10.1007/s12652-010-0034-yopenalex-snapshot
Appearance-based person reidentification in camera networks: problem overview and current approaches
inferredcites →https://doi.org/10.1016/j.engappai.2015.06.024openalex-snapshot
Split-and-match: A Bayesian framework for vehicle re-identification in road tunnels
inferredcites →https://doi.org/10.1016/j.image.2019.04.021openalex-snapshot
Vehicle re-identification in still images: Application of semi-supervised learning and re-ranking
inferredcites →https://doi.org/10.1016/j.neucom.2018.11.088openalex-snapshot
Multi-label learning with multi-label smoothing regularization for vehicle re-identification
inferredcites →https://doi.org/10.1016/j.patrec.2012.07.005openalex-snapshot
Intelligent multi-camera video surveillance: A review
inferredcites →https://doi.org/10.1016/j.trc.2009.04.003openalex-snapshot
Arterial travel time estimation based on vehicle re-identification using wireless magnetic sensors
inferredcites →https://doi.org/10.1016/j.trc.2013.09.015openalex-snapshot
Vehicle classification using GPS data
inferredcites →https://doi.org/10.1016/s0967-0661(00)00048-4openalex-snapshot
A land vehicle tracking algorithm using stand-alone GPS
inferredcites →https://doi.org/10.1016/s0968-090x(99)00018-2openalex-snapshot
Use of vehicle signature analysis and lexicographic optimization for vehicle reidentification on freeways
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1088/1361-6501/ab8b81openalex-snapshot
Stripe-based and attribute-aware network: a two-branch deep model for vehicle re-identification
inferredcites →https://doi.org/10.1109/access.2018.2862382openalex-snapshot
Joint Feature and Similarity Deep Learning for Vehicle Re-identification
inferredcites →https://doi.org/10.1109/access.2020.3004092openalex-snapshot
Unifying Person and Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/avss.2014.6918703openalex-snapshot
Vehicle licence plate recognition using super-resolution technique
inferredcites →https://doi.org/10.1109/avss.2018.8639390openalex-snapshot
Real-Time Vehicle Re-Identification System Using Symmelets and HOMs
inferredcites →https://doi.org/10.1109/bigmm.2015.53openalex-snapshot
Object Tracking over a Multiple-Camera Network
inferredcites →https://doi.org/10.1109/cac.2017.8244065openalex-snapshot
An incremental intelligent object recognition system based on deep learning
inferredcites →https://doi.org/10.1109/codes-isss.2013.6659005openalex-snapshot
Instruction set extensions for Dynamic Time Warping
inferredcites →https://doi.org/10.1109/cspa.2012.6194758openalex-snapshot
Appearance-based methods in re-identification: A brief review
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2010.5539926openalex-snapshot
Person re-identification by symmetry-driven accumulation of local features
inferredcites →https://doi.org/10.1109/cvpr.2012.6248018openalex-snapshot
Three things everyone should know to improve object retrieval
inferredcites →https://doi.org/10.1109/cvpr.2014.244openalex-snapshot
Deep Learning Face Representation from Predicting 10,000 Classes
inferredcites →https://doi.org/10.1109/cvpr.2014.26openalex-snapshot
Learning Mid-level Filters for Person Re-identification
inferredcites →https://doi.org/10.1109/cvpr.2014.27openalex-snapshot
DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298832openalex-snapshot
Person re-identification by Local Maximal Occurrence representation and metric learning
inferredcites →https://doi.org/10.1109/cvpr.2015.7298995openalex-snapshot
Fine-grained visual categorization via multi-stage metric learning
inferredcites →https://doi.org/10.1109/cvpr.2015.7299016openalex-snapshot
An improved deep learning architecture for person re-identification
inferredcites →https://doi.org/10.1109/cvpr.2015.7299023openalex-snapshot
A large-scale car dataset for fine-grained categorization and verification
inferredcites →https://doi.org/10.1109/cvpr.2016.130openalex-snapshot
Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop
inferredcites →https://doi.org/10.1109/cvpr.2016.139openalex-snapshot
Learning a Discriminative Null Space for Person Re-identification
inferredcites →https://doi.org/10.1109/cvpr.2016.238openalex-snapshot
Deep Relative Distance Learning: Tell the Difference between Similar Vehicles
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.103openalex-snapshot
Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion
inferredcites →https://doi.org/10.1109/cvpr.2017.476openalex-snapshot
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.683openalex-snapshot
Residual Attention Network for Image Classification
inferredcites →https://doi.org/10.1109/cvpr.2018.00016openalex-snapshot
Person Transfer GAN to Bridge Domain Gap for Person Re-identification
inferredcites →https://doi.org/10.1109/cvpr.2018.00018openalex-snapshot
Disentangled Person Image Generation
inferredcites →https://doi.org/10.1109/cvpr.2018.00110openalex-snapshot
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification
inferredcites →https://doi.org/10.1109/cvpr.2018.00679openalex-snapshot
Viewpoint-Aware Attentive Multi-view Inference for Vehicle Re-identification
inferredcites →https://doi.org/10.1109/cvpr.2019.00335openalex-snapshot
VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild
inferredcites →https://doi.org/10.1109/cvpr.2019.00412openalex-snapshot
Part-Regularized Near-Duplicate Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/cvpr.2019.00900openalex-snapshot
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
inferredcites →https://doi.org/10.1109/cvprw.2016.195openalex-snapshot
Vehicle Re-identification for Automatic Video Traffic Surveillance
inferredcites →https://doi.org/10.1109/cvprw.2018.00024openalex-snapshot
Vehicle Re-identification with the Space-Time Prior
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00312openalex-snapshot
StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/i2mtc.2012.6229117openalex-snapshot
Vehicle re-identification with a single magnetic sensor
inferredcites →https://doi.org/10.1109/iccv.2015.133openalex-snapshot
Scalable Person Re-identification: A Benchmark
inferredcites →https://doi.org/10.1109/iccv.2015.170openalex-snapshot
Bilinear CNN Models for Fine-Grained Visual Recognition
inferredcites →https://doi.org/10.1109/iccv.2017.210openalex-snapshot
Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals
inferredcites →https://doi.org/10.1109/iccv.2017.349openalex-snapshot
Deeply-Learned Part-Aligned Representations for Person Re-identification
inferredcites →https://doi.org/10.1109/iccv.2017.405openalex-snapshot
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro
inferredcites →https://doi.org/10.1109/iccv.2017.49openalex-snapshot
Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification
inferredcites →https://doi.org/10.1109/iccv.2019.00623openalex-snapshot
A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/iccwamtip.2018.8632593openalex-snapshot
Vehicle Classification Based on Deep Convolutional Neural Networks Model for Traffic Surveillance Systems
inferredcites →https://doi.org/10.1109/icdm.2010.21openalex-snapshot
Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs
inferredcites →https://doi.org/10.1109/icetc.2009.54openalex-snapshot
Automatic Number Plate Recognition System for Vehicle Identification Using Optical Character Recognition
inferredcites →https://doi.org/10.1109/icict47744.2019.9001973openalex-snapshot
Multi-Dimension Projection for Non-Linear Data Via Spearman Correlation Analysis (MD-SCA)
inferredcites →https://doi.org/10.1109/icip.2017.8296310openalex-snapshot
Deep joint discriminative learning for vehicle re-identification and retrieval
inferredcites →https://doi.org/10.1109/icip.2017.8296683openalex-snapshot
Multi-modal metric learning for vehicle re-identification in traffic surveillance environment
inferredcites →https://doi.org/10.1109/icip.2018.8451776openalex-snapshot
Multi-Attribute Driven Vehicle Re-Identification with Spatial-Temporal Re-Ranking
inferredcites →https://doi.org/10.1109/icip.2019.8803366openalex-snapshot
Variational Representation Learning for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/icip.2019.8803810openalex-snapshot
A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras
inferredcites →https://doi.org/10.1109/icme.2016.7553002openalex-snapshot
Large-scale vehicle re-identification in urban surveillance videos
inferredcites →https://doi.org/10.1109/icme.2017.8019491openalex-snapshot
Improving triplet-wise training of convolutional neural network for vehicle re-identification
inferredcites →https://doi.org/10.1109/icme.2018.8486589openalex-snapshot
RAM: A Region-Aware Deep Model for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/icpr.2014.16openalex-snapshot
Deep Metric Learning for Person Re-identification
inferredcites →https://doi.org/10.1109/icpr.2018.8545514openalex-snapshot
A Shortly and Densely Connected Convolutional Neural Network for Vehicle Re-identification
inferredcites →https://doi.org/10.1109/icves.2011.5983819openalex-snapshot
Vehicle re-identification using wireless magnetic sensors: Algorithm revision, modifications and performance analysis
inferredcites →https://doi.org/10.1109/ijcnn.2019.8852059openalex-snapshot
Vehicle Re-identification: an Efficient Baseline Using Triplet Embedding
inferredcites →https://doi.org/10.1109/itnec48623.2020.9085181openalex-snapshot
Attention-Aware Network and Multi-Loss Joint Training Method for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/itsc.2017.8317817openalex-snapshot
VRID-1: A basic vehicle re-identification dataset for similar vehicles
inferredcites →https://doi.org/10.1109/jiot.2020.2963996openalex-snapshot
Object Reidentification via Joint Quadruple Decorrelation Directional Deep Networks in Smart Transportation
inferredcites →https://doi.org/10.1109/macs48846.2019.9024798openalex-snapshot
Data Driven Processing Via Two-Dimensional Spearman Correlation Analysis (2D-SCA)
inferredcites →https://doi.org/10.1109/skg49510.2019.00030openalex-snapshot
Minimizing Vehicle Re-Identification Dataset Bias Using Effective Data Augmentation Method
inferredcites →https://doi.org/10.1109/tetci.2021.3127906openalex-snapshot
Attributes Guided Feature Learning for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/tip.2018.2819820openalex-snapshot
Vehicle Re-Identification by Deep Hidden Multi-View Inference
inferredcites →https://doi.org/10.1109/tip.2019.2891895openalex-snapshot
Progressive Learning for Person Re-Identification With One Example
inferredcites →https://doi.org/10.1109/tip.2019.2902112openalex-snapshot
Embedding Adversarial Learning for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/tip.2019.2910408openalex-snapshot
Two-Level Attention Network With Multi-Grain Ranking Loss for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/tip.2019.2910414openalex-snapshot
Pose-Invariant Embedding for Deep Person Re-Identification
inferredcites →https://doi.org/10.1109/tip.2019.2950796openalex-snapshot
Group-Group Loss-Based Global-Regional Feature Learning for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/tits.2010.2049105openalex-snapshot
Freeway Corridor Performance Measurement Based on Vehicle Reidentification
inferredcites →https://doi.org/10.1109/tits.2010.2096467openalex-snapshot
EasiTia: A Pervasive Traffic Information Acquisition System Based on Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/tits.2014.2352854openalex-snapshot
Fully Automatic Roadside Camera Calibration for Traffic Surveillance
inferredcites →https://doi.org/10.1109/tits.2018.2799228openalex-snapshot
BoxCars: Improving Fine-Grained Recognition of Vehicles Using 3-D Bounding Boxes in Traffic Surveillance
inferredcites →https://doi.org/10.1109/tits.2019.2896273openalex-snapshot
Structural Analysis of Attributes for Vehicle Re-Identification and Retrieval
inferredcites →https://doi.org/10.1109/tits.2019.2901312openalex-snapshot
Vehicle Re-Identification Using Quadruple Directional Deep Learning Features
inferredcites →https://doi.org/10.1109/tits.2020.3030301openalex-snapshot
Part-Guided Attention Learning for Vehicle Instance Retrieval
inferredcites →https://doi.org/10.1109/tiv.2017.2788193openalex-snapshot
Understanding Pedestrian Behavior in Complex Traffic Scenes
inferredcites →https://doi.org/10.1109/tmm.2017.2751966openalex-snapshot
PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance
inferredcites →https://doi.org/10.1109/tmm.2018.2796240openalex-snapshot
Group-Sensitive Triplet Embedding for Vehicle Reidentification
inferredcites →https://doi.org/10.1109/tpami.2014.2360373openalex-snapshot
Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features
inferredcites →https://doi.org/10.1109/tpami.2016.2646371openalex-snapshot
An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition
inferredcites →https://doi.org/10.1109/tpami.2017.2679002openalex-snapshot
Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification
inferredcites →https://doi.org/10.1109/wacv.2009.5403032openalex-snapshot
3-D model based vehicle recognition
inferredcites →https://doi.org/10.1109/wacv.2018.00077openalex-snapshot
Vehicle Re-Identification by Adversarial Bi-Directional LSTM Network
inferredcites →https://doi.org/10.1109/wacvw.2016.7470114openalex-snapshot
Low resolution vehicle re-identification based on appearance features for wide area motion imagery
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3240876.3240879openalex-snapshot
A framework with a multi-task CNN model joint with a re-ranking method for vehicle re-identification
inferredcites →https://doi.org/10.1609/aaai.v32i1.12237openalex-snapshot
Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification
inferredcites →https://doi.org/10.24963/ijcai.2018/86openalex-snapshot
Deep View-Aware Metric Learning for Person Re-Identification
inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN（Generative Adversarial Nets）
inferredcites →https://doi.org/10.3390/app10072474openalex-snapshot
Local Feature-Aware Siamese Matching Model for Vehicle Re-Identification
inferredcites →https://doi.org/10.3390/app9071291openalex-snapshot
Efficient and Deep Vehicle Re-Identification Using Multi-Level Feature Extraction
inferredcites →https://doi.org/10.3390/electronics9071083openalex-snapshot
Visual Features with Spatio-Temporal-Based Fusion Model for Cross-Dataset Vehicle Re-Identification
inferredcites →https://doi.org/10.48550/arxiv.1406.4773openalex-snapshot
Deep Learning Face Representation by Joint Identification-Verification
inferredcites →https://doi.org/10.48550/arxiv.1407.4979openalex-snapshot
Deep Metric Learning for Practical Person Re-Identification
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot
Neural Machine Translation by Jointly Learning to Align and Translate
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.1412.7755openalex-snapshot
Multiple Object Recognition with Visual Attention
inferredcites →https://doi.org/10.48550/arxiv.1502.03044openalex-snapshot
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
inferredcites →https://doi.org/10.48550/arxiv.1511.04119openalex-snapshot
Action Recognition using Visual Attention
inferredcites →https://doi.org/10.48550/arxiv.1511.06434openalex-snapshot
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1601.05610openalex-snapshot
Reading Car License Plates Using Deep Convolutional Neural Networks and LSTMs
inferredcites →https://doi.org/10.48550/arxiv.1603.06765openalex-snapshot
Fully Convolutional Attention Networks for Fine-Grained Recognition
inferredcites →https://doi.org/10.48550/arxiv.1901.01015openalex-snapshot
Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding
inferredcites →https://doi.org/10.5244/c.29.128openalex-snapshot
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization
inferredcites →https://doi.org/10.5244/c.31.186openalex-snapshot
Cross-View GAN Based Vehicle Generation for Re-identification
inferredcites →https://doi.org/10.5555/2555692.2555710openalex-snapshot
Instruction set extensions for dynamic time warping
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Traffic Flow Crystallization Method for Trajectory Approximation and Lane Change Inference
inferred← citeshttps://doi.org/10.1109/tits.2025.3573396openalex-snapshot
Knowledge-Driven Multi-Branch Interaction Network for Vehicle Re-Identification
inferred← citeshttps://doi.org/10.1109/tits.2025.3615929openalex-snapshot
UAV-Based Vehicle Re-Identification via Counterfactual Attention Learning and Hard-Sensitive Binomial Joint Promotion
inferred← citeshttps://doi.org/10.1109/tits.2026.3696994openalex-snapshot
Fine-Grained Vehicle Classification Using Loop Detectors: A Wireless Fingerprinting Approach
inferred← citeshttps://doi.org/10.1109/tmm.2022.3140647openalex-snapshot
Progressive Context-Aware Graph Feature Learning for Target Re-Identification
inferred← citeshttps://doi.org/10.1109/tvt.2023.3262983openalex-snapshot
URRNet: A Unified Relational Reasoning Network for Vehicle Re-Identification
inferred← citeshttps://doi.org/10.1109/weconf69969.2026.11553840openalex-snapshot
A Graph-Probabilistic Model of Inter-Camera Association of Vehicles in Distributed Road Video Surveillance Systems
inferred← citeshttps://doi.org/10.1111/mice.12947openalex-snapshot
Spatiotemporal matching method for tracking pavement distress using high‐frequency detection data
inferred← citeshttps://doi.org/10.1145/3581783.3611949openalex-snapshot
Learning Style-Invariant Robust Representation for Generalizable Visual Instance Retrieval
inferred← citeshttps://doi.org/10.1145/3655623openalex-snapshot
Paying Attention to Vehicles: A Systematic Review on Transformer-Based Vehicle Re-identification
inferred← citeshttps://doi.org/10.1155/2023/3677387openalex-snapshot
HAZMAT Vehicle Reidentification in Road Tunnels Based on the Fusion of Appearance and Spatiotemporal Information
inferred← citeshttps://doi.org/10.1186/s12544-026-00817-1openalex-snapshot
Utilizing video-based measurements and re-identification algorithms to analyse traffic performance on 2+1 roads
inferred← citeshttps://doi.org/10.1186/s42408-023-00203-5openalex-snapshot
RETRACTED ARTICLE: Federated recognition mechanism based on enhanced temporal-spatial learning using mobile edge sensors for firefighters
inferred← citeshttps://doi.org/10.1609/aaai.v37i5.25747openalex-snapshot
Human-in-the-Loop Vehicle ReID
inferred← citeshttps://doi.org/10.21869/2223-1536-2025-15-2-153-168openalex-snapshot
A method of managing ambulance crews based on the use of geographic information systems
inferred← citeshttps://doi.org/10.2478/amns-2025-0181openalex-snapshot
Intelligent capture analysis model for high-speed toll evasion vehicles based on vehicle re-identification algorithm
inferred← citeshttps://doi.org/10.32604/cmc.2024.058461openalex-snapshot
Recent Technology Advancements in Smart City Management: A Review
inferred← citeshttps://doi.org/10.3389/fmars.2024.1429459openalex-snapshot
Take good care of your fish: fish re-identification with synchronized multi-view camera system
inferred← citeshttps://doi.org/10.3390/machines10090799openalex-snapshot
A Vehicle Comparison and Re-Identification System Based on Residual Network
inferred← citeshttps://doi.org/10.3390/math11040940openalex-snapshot
Preface to the Special Issue “Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics”—Special Issue Book
inferred← citeshttps://doi.org/10.3390/rs17162808openalex-snapshot
Parking Pattern Guided Vehicle and Aircraft Detection in Aligned SAR-EO Aerial View Images
inferred← citeshttps://doi.org/10.3390/s22228651openalex-snapshot
V2ReID: Vision-Outlooker-Based Vehicle Re-Identification
inferred← citeshttps://doi.org/10.3390/s23094206openalex-snapshot
Progressively Hybrid Transformer for Multi-Modal Vehicle Re-Identification
inferred← citeshttps://doi.org/10.3390/s24154922openalex-snapshot
LPDi GAN: A License Plate De-Identification Method to Preserve Strong Data Utility
inferred← citeshttps://doi.org/10.48550/arxiv.2104.10903openalex-snapshot
Blockchain based Privacy-Preserved Federated Learning for Medical Images: A Case Study of COVID-19 CT Scans
inferred← citeshttps://doi.org/10.5220/0010836600003124openalex-snapshot
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery
inferred← citeshttps://doi.org/10.53370/001c.29615openalex-snapshot
Movie Genre Classification from RGB Movie Poster Image Using Deep Feed-forward Network
inferred← citeshttps://doi.org/10.53370/001c.29748openalex-snapshot
Meme Generation Using Deep Neural Network to Engage Viewers on Social Media
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