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 76–100 of 150 papers

Title	Date	Tasks	Status
Discriminative-Region Attention and Orthogonal-View Generation Model for Vehicle Re-Identification	Apr 28, 2022	AttributeManagement	—Unverified
Global-Supervised Contrastive Loss and View-Aware-Based Post-Processing for Vehicle Re-Identification	Apr 17, 2022	AttributeVehicle Re-Identification	—Unverified
Self-aligned Spatial Feature Extraction Network for UAV Vehicle Re-identification	Jan 8, 2022	Vehicle Re-Identification	—Unverified
DVHN: A Deep Hashing Framework for Large-scale Vehicle Re-identification	Dec 9, 2021	Deep HashingPlaying the Game of 2048	—Unverified
Progressive learning with multi-scale attention network for cross-domain vehicle re-identification	Nov 19, 2021	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
PP-ShiTu: A Practical Lightweight Image Recognition System	Nov 1, 2021	Face RecognitionKnowledge Distillation	CodeCode Available
Vehicle Detection and Tracking From Surveillance Cameras in Urban Scenes	Sep 25, 2021	Multi-Object TrackingObject	—Unverified
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification	Sep 14, 2021	Contrastive LearningDomain Adaptation	CodeCode Available
Learning Canonical 3D Object Representation for Fine-Grained Recognition	Aug 10, 2021	3D Shape ReconstructionFine-Grained Image Recognition	—Unverified
Weakly-supervised Part-Attention and Mentored Networks for Vehicle Re-Identification	Jul 17, 2021	Vehicle Re-Identification	—Unverified
GiT: Graph Interactive Transformer for Vehicle Re-identification	Jul 12, 2021	Person Re-IdentificationVehicle Re-Identification	—Unverified
Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification	May 4, 2021	Re-RankingRetrieval	—Unverified
Vehicle Re-identification Method Based on Vehicle Attribute and Mutual Exclusion Between Cameras	Apr 30, 2021	AttributeVehicle Re-Identification	—Unverified
Multi-Attention-Based Soft Partition Network for Vehicle Re-Identification	Apr 21, 2021	Vehicle Re-Identification	—Unverified
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery	Apr 13, 2021	Vehicle Re-Identification	CodeCode Available
Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification	Mar 9, 2021	Vehicle Re-Identification	—Unverified
Viewpoint and Scale Consistency Reinforcement for UAV Vehicle Re-Identification	Mar 1, 2021	Vehicle Re-Identification	CodeCode Available
Trends in Vehicle Re-identification Past, Present, and Future: A Comprehensive Review	Feb 19, 2021	Vehicle Re-Identification	—Unverified
AttributeNet: Attribute Enhanced Vehicle Re-Identification	Feb 7, 2021	AttributeVehicle Re-Identification	—Unverified
Vehicle Re-identification Based on Dual Distance Center Loss	Dec 23, 2020	Person Re-IdentificationVehicle Re-Identification	—Unverified
Context-Aware Graph Convolution Network for Target Re-identification	Dec 8, 2020	Vehicle Re-Identification	—Unverified
LABNet: Local Graph Aggregation Network with Class Balanced Loss for Vehicle Re-Identification	Nov 29, 2020	Spatial ReasoningVehicle Re-Identification	—Unverified
Viewpoint-aware Progressive Clustering for Unsupervised Vehicle Re-identification	Nov 18, 2020	ClusteringDomain Adaptation	—Unverified
Discriminative Feature Representation with Spatio-temporal Cues for Vehicle Re-identification	Nov 13, 2020	ManagementVehicle Re-Identification	—Unverified
DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio	Nov 12, 2020	Person Re-IdentificationVehicle 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	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