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

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Showing 101–125 of 150 papers

Title	Date	Tasks	Status
Trends in Vehicle Re-identification Past, Present, and Future: A Comprehensive Review	Feb 19, 2021	Vehicle Re-Identification	—Unverified
UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking	Sep 5, 2024	Gesture RecognitionObject Recognition	—Unverified
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
Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification	Jul 10, 2024	DiversityRepresentation Learning	—Unverified
Unsupervised Vehicle Re-Identification Based on Cross-Style Semi-Supervised Pre-Training and Feature Cross-Division	Jul 3, 2023	Domain AdaptationPseudo Label	—Unverified
Unsupervised Vehicle Re-identification with Progressive Adaptation	Jun 20, 2020	Unsupervised Domain AdaptationUnsupervised Vehicle Re-Identification	—Unverified
Vehicle Detection and Tracking From Surveillance Cameras in Urban Scenes	Sep 25, 2021	Multi-Object TrackingObject	—Unverified
VehicleGAN: Pair-flexible Pose Guided Image Synthesis for Vehicle Re-identification	Nov 27, 2023	Data AugmentationImage Generation	—Unverified
Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding	Jan 4, 2019	TripletVehicle Re-Identification	—Unverified
Vehicle Re-identification Based on Dual Distance Center Loss	Dec 23, 2020	Person Re-IdentificationVehicle Re-Identification	—Unverified
Vehicle Re-identification in Aerial Imagery: Dataset and Approach	Apr 2, 2019	Vehicle Re-Identification	—Unverified
Vehicle Re-Identification in Context	Sep 25, 2018	Vehicle Re-Identification	—Unverified
Vehicle Re-identification Method Based on Vehicle Attribute and Mutual Exclusion Between Cameras	Apr 30, 2021	AttributeVehicle Re-Identification	—Unverified
Vehicle Re-identification Using Quadruple Directional Deep Learning Features	Nov 13, 2018	Deep LearningVehicle Re-Identification	—Unverified
Vehicle Re-identification with Viewpoint-aware Metric Learning	Oct 9, 2019	Metric LearningVehicle Re-Identification	—Unverified
Vehicle Re-ID for Surround-view Camera System	Jun 30, 2020	Autonomous DrivingVehicle Re-Identification	—Unverified
VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild	Jun 1, 2019	Vehicle Re-Identification	—Unverified
Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification	Jun 1, 2018	Metric LearningVehicle Re-Identification	—Unverified
Viewpoint-Aware Channel-Wise Attentive Network for Vehicle Re-Identification	Oct 12, 2020	Vehicle Re-Identification	—Unverified
Viewpoint-aware Progressive Clustering for Unsupervised Vehicle Re-identification	Nov 18, 2020	ClusteringDomain Adaptation	—Unverified
Vision-based Vehicle Re-identification in Bridge Scenario using Flock Similarity	Mar 12, 2024	License Plate RecognitionPosition	—Unverified
SemHARQ: Semantic-Aware HARQ for Multi-task Semantic Communications	Apr 12, 2024	Feature ImportanceVehicle Re-Identification	—Unverified
Spatial-temporal Vehicle Re-identification	Sep 3, 2023	Vehicle Re-Identification	—Unverified
StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification	Apr 25, 2020	Domain AdaptationVehicle Re-Identification	—Unverified
Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification	Oct 12, 2019	AttributeVehicle Re-Identification	—Unverified

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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