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 101–125 of 150 papers

Title	Date	Tasks	Status
Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond	Oct 19, 2020	Representation LearningSelf-Supervised Learning	CodeCode Available
Viewpoint-Aware Channel-Wise Attentive Network for Vehicle Re-Identification	Oct 12, 2020	Vehicle Re-Identification	—Unverified
Data Augmentation and Clustering for Vehicle Make/Model Classification	Sep 14, 2020	ClassificationClustering	—Unverified
Methods of the Vehicle Re-identification	Sep 14, 2020	ClassificationGeneral Classification	—Unverified
Traffic-Aware Multi-Camera Tracking of Vehicles Based on ReID and Camera Link Model	Aug 22, 2020	ClusteringVehicle Re-Identification	—Unverified
Image-based Vehicle Re-identification Model with Adaptive Attention Modules and Metadata Re-ranking	Jul 3, 2020	Re-RankingVehicle Re-Identification	—Unverified
Vehicle Re-ID for Surround-view Camera System	Jun 30, 2020	Autonomous DrivingVehicle Re-Identification	—Unverified
Unsupervised Vehicle Re-identification with Progressive Adaptation	Jun 20, 2020	Unsupervised Domain AdaptationUnsupervised Vehicle Re-Identification	—Unverified
Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identification	May 29, 2020	Vehicle Re-Identification	CodeCode Available
Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification	May 13, 2020	AttributeDiversity	—Unverified
The 4th AI City Challenge	Apr 30, 2020	Anomaly DetectionComputational Efficiency	—Unverified
StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification	Apr 25, 2020	Domain AdaptationVehicle Re-Identification	—Unverified
Dual Embedding Expansion for Vehicle Re-identification	Apr 18, 2020	AttributeImage Retrieval	—Unverified
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification	Apr 14, 2020	Vehicle Re-Identification	—Unverified
VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification	Apr 14, 2020	Representation LearningVehicle Re-Identification	CodeCode Available
DCDLearn: Multi-order Deep Cross-distance Learning for Vehicle Re-Identification	Mar 25, 2020	TripletVehicle Re-Identification	—Unverified
Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification	Mar 16, 2020	Dictionary LearningTriplet	—Unverified
Looking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with Global and Local Attention	Feb 6, 2020	Vehicle Re-Identification	—Unverified
Attribute-guided Feature Learning Network for Vehicle Re-identification	Jan 12, 2020	AttributeVehicle Re-Identification	—Unverified
Eliminating cross-camera bias for vehicle re-identification	Dec 21, 2019	Vehicle Re-Identification	—Unverified
Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking and Vehicle Re-ID in Multi-Camera Networks	Dec 9, 2019	AttributeManagement	—Unverified
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
Background Segmentation for Vehicle Re-Identification	Oct 15, 2019	SegmentationVehicle 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
Vehicle Re-identification with Viewpoint-aware Metric Learning	Oct 9, 2019	Metric LearningVehicle 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