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
Day-Night Cross-domain Vehicle Re-identification	Jan 1, 2024	Vehicle Re-Identification	CodeCode Available	2
CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels	Nov 25, 2022	image-classificationImage Classification	CodeCode Available	2
FastReID: A Pytorch Toolbox for General Instance Re-identification	Jun 4, 2020	Face RecognitionGPU	CodeCode Available	2
Multi-Domain Learning and Identity Mining for Vehicle Re-Identification	Apr 22, 2020	ClusteringRe-Ranking	CodeCode Available	2
CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification	Nov 17, 2023	Person Re-IdentificationPerson Retrieval	CodeCode Available	1
Multi‑camera trajectory matching based on hierarchical clustering and constraints	Oct 19, 2023	AttributeAutonomous Driving	CodeCode Available	1
Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-Identification	Oct 2, 2023	DiversityRepresentation Learning	CodeCode Available	1
Flare-Aware Cross-modal Enhancement Network for Multi-spectral Vehicle Re-identification	May 23, 2023	Vehicle Re-Identification	CodeCode Available	1
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID	Mar 13, 2023	image-classificationImage Classification	CodeCode Available	1
SIVD: Dataset of Iranian Vehicles for Real-Time Multi-Camera Video Tracking and Recognition	Feb 22, 2023	Object TrackingVehicle Re-Identification	CodeCode Available	1
Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Cities	Aug 30, 2022	Depth EstimationMulti-Object Tracking	CodeCode Available	1
Multi-spectral Vehicle Re-identification with Cross-directional Consistency Network and a High-quality Benchmark	Aug 1, 2022	Vehicle Re-Identification	CodeCode Available	1
UFO: Unified Feature Optimization	Jul 21, 2022	Face RecognitionMulti-Task Learning	CodeCode Available	1
Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems	Oct 15, 2021	ObjectPerson Re-Identification	CodeCode Available	1
Heterogeneous Relational Complement for Vehicle Re-identification	Sep 16, 2021	Vehicle Re-Identification	CodeCode Available	1
Recall@k Surrogate Loss with Large Batches and Similarity Mixup	Aug 25, 2021	GPUImage Retrieval	CodeCode Available	1
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification	Aug 19, 2021	Causal Inferencecounterfactual	CodeCode Available	1
PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification	Jun 19, 2021	ManagementVehicle Re-Identification	CodeCode Available	1
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval	May 31, 2021	Language ModellingManagement	CodeCode Available	1
An Empirical Study of Vehicle Re-Identification on the AI City Challenge	May 20, 2021	DiversityRe-Ranking	CodeCode Available	1
City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones	May 14, 2021	ClusteringVehicle Re-Identification	CodeCode Available	1
The 5th AI City Challenge	Apr 25, 2021	Anomaly DetectionComputational Efficiency	CodeCode Available	1
A Strong Baseline for Vehicle Re-Identification	Apr 22, 2021	ManagementVehicle Re-Identification	CodeCode Available	1
Cluster Contrast for Unsupervised Person Re-Identification	Mar 22, 2021	ClusteringDomain Adaptation	CodeCode Available	1
Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary	Mar 3, 2021	Domain AdaptationMetric Learning	CodeCode Available	1

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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