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 1–25 of 150 papers

Title	Date	Tasks	Status	Hype
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	0
Collaborative Enhancement Network for Low-quality Multi-spectral Vehicle Re-identification	Apr 21, 2025	AllVehicle Re-Identification	CodeCode Available	0
CLIP-SENet: CLIP-based Semantic Enhancement Network for Vehicle Re-identification	Feb 24, 2025	DescriptiveVehicle Re-Identification	—Unverified	0
UCM-VeID V2: A Richer Dataset and A Pre-training Method for UAV Cross-Modality Vehicle Re-Identification	Jan 1, 2025	Image ReconstructionSelf-Supervised Learning	—Unverified	0
Adaptive Aspect Ratios with Patch-Mixup-ViT-based Vehicle ReID	Nov 9, 2024	Vehicle Re-Identification	CodeCode Available	0
Revisiting Multi-Granularity Representation via Group Contrastive Learning for Unsupervised Vehicle Re-identification	Oct 29, 2024	Contrastive LearningDomain Adaptation	—Unverified	0
Multimodality Adaptive Transformer and Mutual Learning for Unsupervised Domain Adaptation Vehicle Re-Identification	Sep 17, 2024	AttributeDomain Adaptation	—Unverified	0
UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking	Sep 5, 2024	Gesture RecognitionObject Recognition	—Unverified	0
Optimizing ROI Benefits Vehicle ReID in ITS	Jul 13, 2024	Clusteringvehicle detection	—Unverified	0
Study on Aspect Ratio Variability toward Robustness of Vision Transformer-based Vehicle Re-identification	Jul 10, 2024	Vehicle Re-Identification	—Unverified	0
Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification	Jul 10, 2024	DiversityRepresentation Learning	—Unverified	0
Enhancing Vehicle Re-identification and Matching for Weaving Analysis	Jul 5, 2024	ManagementVehicle Re-Identification	CodeCode Available	0
Dual-Level Viewpoint-Learning for Cross-Domain Vehicle Re-Identification	May 8, 2024	Meta-LearningUnsupervised Domain Adaptation	—Unverified	0
SemHARQ: Semantic-Aware HARQ for Multi-task Semantic Communications	Apr 12, 2024	Feature ImportanceVehicle Re-Identification	—Unverified	0
Vision-based Vehicle Re-identification in Bridge Scenario using Flock Similarity	Mar 12, 2024	License Plate RecognitionPosition	—Unverified	0
A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges	Jan 19, 2024	Deep LearningVehicle Re-Identification	—Unverified	0
Day-Night Cross-domain Vehicle Re-identification	Jan 1, 2024	Vehicle Re-Identification	CodeCode Available	2
Cluster images with AntClust: a clustering algorithm based on the chemical recognition system of ants	Dec 8, 2023	ClusteringVehicle Re-Identification	—Unverified	0
VehicleGAN: Pair-flexible Pose Guided Image Synthesis for Vehicle Re-identification	Nov 27, 2023	Data AugmentationImage Generation	—Unverified	0
CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification	Nov 17, 2023	Person Re-IdentificationPerson Retrieval	CodeCode Available	1
DSAM-GN:Graph Network based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification	Oct 25, 2023	ManagementVehicle Re-Identification	—Unverified	0
Multi‑camera trajectory matching based on hierarchical clustering and constraints	Oct 19, 2023	AttributeAutonomous Driving	CodeCode Available	1
Beyond Sharing Weights in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification	Oct 12, 2023	Vehicle Re-Identification	CodeCode Available	0
Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-Identification	Oct 2, 2023	DiversityRepresentation Learning	CodeCode Available	1
Spatial-temporal Vehicle Re-identification	Sep 3, 2023	Vehicle Re-Identification	—Unverified	0

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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