Vehicle Re-Identification

Vehicle re-identification is the task of identifying the same vehicle across multiple cameras.

( Image credit: A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 126–150 of 150 papers

Title	Date	Tasks	Status
Study on Aspect Ratio Variability toward Robustness of Vision Transformer-based Vehicle Re-identification	Jul 10, 2024	Vehicle Re-Identification	—Unverified
The 4th AI City Challenge	Apr 30, 2020	Anomaly DetectionComputational Efficiency	—Unverified
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification	Apr 14, 2020	Vehicle Re-Identification	—Unverified
Traffic-Aware Multi-Camera Tracking of Vehicles Based on ReID and Camera Link Model	Aug 22, 2020	ClusteringVehicle Re-Identification	—Unverified
Self-supervised Geometric Features Discovery via Interpretable Attentio for Vehicle Re-Identification and Beyond (Complete Version)	Feb 5, 2023	Representation LearningSelf-Supervised Learning	CodeCode Available
Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond	Oct 19, 2020	Representation LearningSelf-Supervised Learning	CodeCode Available
Beyond Sharing Weights in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification	Oct 12, 2023	Vehicle Re-Identification	CodeCode Available
A Dual-Path Model With Adaptive Attention For Vehicle Re-Identification	May 9, 2019	Vehicle Key-Point and Orientation EstimationVehicle Re-Identification	CodeCode Available
PP-ShiTu: A Practical Lightweight Image Recognition System	Nov 1, 2021	Face RecognitionKnowledge Distillation	CodeCode Available
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification	Oct 4, 2022	Knowledge DistillationMetric Learning	CodeCode Available
CORE-ReID V2: Advancing the Domain Adaptation for Object Re-Identification with Optimized Training and Ensemble Fusion	Jul 4, 2025	Domain AdaptationPerson Re-Identification	CodeCode Available
ConMAE: Contour Guided MAE for Unsupervised Vehicle Re-Identification	Feb 11, 2023	Self-Supervised LearningUnsupervised Vehicle Re-Identification	CodeCode Available
Part-Guided Attention Learning for Vehicle Instance Retrieval	Sep 13, 2019	Fine-Grained Image ClassificationRetrieval	CodeCode Available
VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification	Apr 14, 2020	Representation LearningVehicle Re-Identification	CodeCode Available
Adaptive Aspect Ratios with Patch-Mixup-ViT-based Vehicle ReID	Nov 9, 2024	Vehicle Re-Identification	CodeCode Available
Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identification	May 29, 2020	Vehicle Re-Identification	CodeCode Available
Collaborative Enhancement Network for Low-quality Multi-spectral Vehicle Re-identification	Apr 21, 2025	AllVehicle Re-Identification	CodeCode Available
Enhancing Vehicle Re-identification and Matching for Weaving Analysis	Jul 5, 2024	ManagementVehicle Re-Identification	CodeCode Available
A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras	Feb 4, 2019	Vehicle Re-Identification	CodeCode Available
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification	Sep 14, 2021	Contrastive LearningDomain Adaptation	CodeCode Available
Deep Meta Metric Learning	Oct 1, 2019	Face VerificationMetric Learning	CodeCode Available
Viewpoint and Scale Consistency Reinforcement for UAV Vehicle Re-Identification	Mar 1, 2021	Vehicle Re-Identification	CodeCode Available
Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification	Jan 23, 2023	Contrastive LearningRepresentation Learning	CodeCode Available
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery	Apr 13, 2021	Vehicle Re-Identification	CodeCode Available
Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks	Nov 13, 2019	Fine-Grained Vehicle ClassificationLicense Plate Detection	CodeCode Available

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All datasets VeRi-776 VehicleID Small VehicleID Large VehicleID Medium VRAI test-dev VeRi-Wild Small VRAI test VeRi VeRi-Wild Large CityFlow VehicleID VeRi-Wild Medium

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	MBR4B-LAI (w/ RK)	mAP	92.1	—	Unverified
2	RPTM	mAP	88	—	Unverified
3	A Strong Baseline	mAP	87.1	—	Unverified
4	MBR4B-LAI (without re-ranking)	mAP	86	—	Unverified
5	MBR4B (without re-ranking)	mAP	84.72	—	Unverified
6	CLIP-ReID (without re-ranking)	mAP	84.5	—	Unverified
7	VehicleNet	mAP	83.41	—	Unverified
8	ProNet++ (ResNet50)	mAP	83.4	—	Unverified
9	TransReID	mAP	82.3	—	Unverified
10	CA-Jaccard	mAP	81.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Recall@k Surrogate loss (ViT-B/16)	Rank-1	96.2	—	Unverified
2	Recall@k Surrogate loss (ResNet-50)	Rank-1	95.7	—	Unverified
3	RPTM	Rank-1	95.5	—	Unverified
4	PNP Loss	Rank-1	95.5	—	Unverified
5	Smooth-AP	Rank-1	94.9	—	Unverified
6	MBR-4B (without RK)	Rank-1	88.3	—	Unverified
7	ANet	Rank-1	87.9	—	Unverified
8	CLIP-ReID (without re-ranking)	Rank-1	85.5	—	Unverified
9	GiT	Rank1	84.65	—	Unverified
10	HPGN	Rank1	83.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Recall@k Surrogate loss (ViT-B/16)	Rank-1	94.7	—	Unverified
2	Recall@k Surrogate loss (ResNet-50)	Rank-1	93.8	—	Unverified
3	PNP Loss	Rank-1	93.2	—	Unverified
4	RPTM	Rank-1	92.9	—	Unverified
5	Smooth-AP	Rank-1	91.9	—	Unverified
6	ANet	Rank-1	80.5	—	Unverified
7	vehiclenet	Rank-1	79.46	—	Unverified
8	MSINet (2.3M w/o RK)	Rank-1	77.9	—	Unverified
9	CAL	Rank-1	75.1	—	Unverified
10	QD-DLF	mAP	68.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Recall@k Surrogate loss (ViT-B/16)	Rank-1	95.2	—	Unverified
2	Recall@k Surrogate loss (ResNet-50)	Rank-1	94.6	—	Unverified
3	PNP Loss	Rank-1	94.2	—	Unverified
4	RPTM	Rank-1	93.3	—	Unverified
5	Smooth-AP	Rank-1	93.3	—	Unverified
6	ANet	Rank-1	82.8	—	Unverified
7	vehiclenet	Rank-1	81.35	—	Unverified
8	CAL	Rank-1	78.2	—	Unverified
9	QD-DLF	mAP	74.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Baseline Model	MAP	0.78	—	Unverified
2	abu_0916	MAP	0.78	—	Unverified
3	Juice Lee	MAP	0.7	—	Unverified
4	nanggg	MAP	0.63	—	Unverified
5	asdf	MAP	0.62	—	Unverified
6	92	MAP	0.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MBR-4B (without RK)	Rank1	96.6	—	Unverified
2	ANet	Rank1	96.5	—	Unverified
3	ResNet50-IBN	mAP	73.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Baseline Model	MAP	0.79	—	Unverified
2	Juice Lee	MAP	0.69	—	Unverified
3	nanggg	MAP	0.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	vehiclenet	mAP	83.41	—	Unverified
2	VKD (ResVKD-50)	mAP	82.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ANet	mAP	75.9	—	Unverified
2	ResNet50-IBN	mAP	58.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	A Strong Baseline	mAP	61.34	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VehicleNet	Rank1	83.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ANet	Rank1	95.2	—	Unverified