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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 71–80 of 150 papers

Title	Date	Tasks	Status	Hype	Score
Multi-Attention-Based Soft Partition Network for Vehicle Re-Identification	Apr 21, 2021	Vehicle Re-Identification	—Unverified	0	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	0
Discriminative-Region Attention and Orthogonal-View Generation Model for Vehicle Re-Identification	Apr 28, 2022	AttributeManagement	—Unverified	0	0
Multimodality Adaptive Transformer and Mutual Learning for Unsupervised Domain Adaptation Vehicle Re-Identification	Sep 17, 2024	AttributeDomain Adaptation	—Unverified	0	0
Multi-query Vehicle Re-identification: Viewpoint-conditioned Network, Unified Dataset and New Metric	May 25, 2023	Scene RecognitionVehicle Re-Identification	—Unverified	0	0
Discriminative Feature Representation with Spatio-temporal Cues for Vehicle Re-identification	Nov 13, 2020	ManagementVehicle Re-Identification	—Unverified	0	0
Optimizing ROI Benefits Vehicle ReID in ITS	Jul 13, 2024	Clusteringvehicle detection	—Unverified	0	0
Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification	Mar 16, 2020	Dictionary LearningTriplet	—Unverified	0	0
Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-Identification	Oct 1, 2017	RetrievalVehicle Re-Identification	—Unverified	0	0
Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles	Jun 1, 2016	Face RecognitionPerson Re-Identification	—Unverified	0	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