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 51–75 of 150 papers

Title	Date	Tasks	Status	Score
Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identification	May 29, 2020	Vehicle Re-Identification	CodeCode Available	5
Part-Guided Attention Learning for Vehicle Instance Retrieval	Sep 13, 2019	Fine-Grained Image ClassificationRetrieval	CodeCode Available	5
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification	Oct 4, 2022	Knowledge DistillationMetric Learning	CodeCode Available	5
PP-ShiTu: A Practical Lightweight Image Recognition System	Nov 1, 2021	Face RecognitionKnowledge Distillation	CodeCode Available	5
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	5
Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond	Oct 19, 2020	Representation LearningSelf-Supervised Learning	CodeCode Available	5
Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification	Jan 23, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	5
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery	Apr 13, 2021	Vehicle Re-Identification	CodeCode Available	5
VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification	Apr 14, 2020	Representation LearningVehicle Re-Identification	CodeCode Available	5
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	5
Viewpoint and Scale Consistency Reinforcement for UAV Vehicle Re-Identification	Mar 1, 2021	Vehicle Re-Identification	CodeCode Available	5
Large-scale Fully-Unsupervised Re-Identification	Jul 26, 2023	ClusteringRe-Ranking	—Unverified	0
Learning Canonical 3D Object Representation for Fine-Grained Recognition	Aug 10, 2021	3D Shape ReconstructionFine-Grained Image Recognition	—Unverified	0
Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals	Aug 13, 2017	Person Re-IdentificationVehicle Re-Identification	—Unverified	0
Learning Feature Aggregation in Temporal Domain for Re-Identification	Mar 12, 2019	Person Re-IdentificationVehicle Re-Identification	—Unverified	0
Looking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with Global and Local Attention	Feb 6, 2020	Vehicle Re-Identification	—Unverified	0
Weakly-supervised Part-Attention and Mentored Networks for Vehicle Re-Identification	Jul 17, 2021	Vehicle Re-Identification	—Unverified	0
Methods of the Vehicle Re-identification	Sep 14, 2020	ClassificationGeneral Classification	—Unverified	0
Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification	May 4, 2021	Re-RankingRetrieval	—Unverified	0
DSAM-GN:Graph Network based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification	Oct 25, 2023	ManagementVehicle Re-Identification	—Unverified	0
Multi-Attention-Based Soft Partition Network for Vehicle Re-Identification	Apr 21, 2021	Vehicle Re-Identification	—Unverified	0
DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio	Nov 12, 2020	Person Re-IdentificationVehicle Re-Identification	—Unverified	0
Discriminative-Region Attention and Orthogonal-View Generation Model for Vehicle Re-Identification	Apr 28, 2022	AttributeManagement	—Unverified	0
Multimodality Adaptive Transformer and Mutual Learning for Unsupervised Domain Adaptation Vehicle Re-Identification	Sep 17, 2024	AttributeDomain Adaptation	—Unverified	0
Multi-query Vehicle Re-identification: Viewpoint-conditioned Network, Unified Dataset and New Metric	May 25, 2023	Scene RecognitionVehicle 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	Smooth-AP	Rank-1	93.3	—	Unverified
5	RPTM	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	abu_0916	MAP	0.78	—	Unverified
2	Baseline Model	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