SOTAVerified

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

Showing 101150 of 150 papers

TitleStatusHype
Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and BeyondCode0
Viewpoint-Aware Channel-Wise Attentive Network for Vehicle Re-Identification0
Data Augmentation and Clustering for Vehicle Make/Model Classification0
Methods of the Vehicle Re-identification0
Traffic-Aware Multi-Camera Tracking of Vehicles Based on ReID and Camera Link Model0
Image-based Vehicle Re-identification Model with Adaptive Attention Modules and Metadata Re-ranking0
Vehicle Re-ID for Surround-view Camera System0
Unsupervised Vehicle Re-identification with Progressive Adaptation0
Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identificationCode0
Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification0
The 4th AI City Challenge0
StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification0
Dual Embedding Expansion for Vehicle Re-identification0
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification0
VehicleNet: Learning Robust Visual Representation for Vehicle Re-identificationCode0
DCDLearn: Multi-order Deep Cross-distance Learning for Vehicle Re-Identification0
Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification0
Looking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with Global and Local Attention0
Attribute-guided Feature Learning Network for Vehicle Re-identification0
Eliminating cross-camera bias for vehicle re-identification0
Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking and Vehicle Re-ID in Multi-Camera Networks0
Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural NetworksCode0
Background Segmentation for Vehicle Re-Identification0
Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification0
Vehicle Re-identification with Viewpoint-aware Metric Learning0
Deep Meta Metric LearningCode0
Part-Guided Attention Learning for Vehicle Instance RetrievalCode0
A unified neural network for object detection, multiple object tracking and vehicle re-identification0
Part-Regularized Near-Duplicate Vehicle Re-Identification0
VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild0
A survey of advances in vision-based vehicle re-identification0
Attributes Guided Feature Learning for Vehicle Re-identification0
A Dual-Path Model With Adaptive Attention For Vehicle Re-IdentificationCode0
Cross Domain Knowledge Learning with Dual-branch Adversarial Network for Vehicle Re-identification0
Vehicle Re-identification in Aerial Imagery: Dataset and Approach0
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification0
Cross Domain Knowledge Transfer for Unsupervised Vehicle Re-identification0
Learning Feature Aggregation in Temporal Domain for Re-Identification0
A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping CamerasCode0
Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding0
Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification0
Part-level Car Parsing and Reconstruction from Single Street View0
Vehicle Re-identification Using Quadruple Directional Deep Learning Features0
Vehicle Re-Identification in Context0
RAM: A Region-Aware Deep Model for Vehicle Re-Identification0
Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification0
Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-Identification0
Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals0
A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance0
Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MBR4B-LAI (w/ RK)mAP92.1Unverified
2RPTMmAP88Unverified
3A Strong BaselinemAP87.1Unverified
4MBR4B-LAI (without re-ranking)mAP86Unverified
5MBR4B (without re-ranking)mAP84.72Unverified
6CLIP-ReID (without re-ranking)mAP84.5Unverified
7VehicleNetmAP83.41Unverified
8ProNet++ (ResNet50)mAP83.4Unverified
9TransReIDmAP82.3Unverified
10CA-JaccardmAP81.4Unverified
#ModelMetricClaimedVerifiedStatus
1Recall@k Surrogate loss (ViT-B/16)Rank-196.2Unverified
2Recall@k Surrogate loss (ResNet-50)Rank-195.7Unverified
3RPTMRank-195.5Unverified
4PNP LossRank-195.5Unverified
5Smooth-APRank-194.9Unverified
6MBR-4B (without RK)Rank-188.3Unverified
7ANetRank-187.9Unverified
8CLIP-ReID (without re-ranking)Rank-185.5Unverified
9GiTRank184.65Unverified
10HPGNRank183.91Unverified
#ModelMetricClaimedVerifiedStatus
1Recall@k Surrogate loss (ViT-B/16)Rank-194.7Unverified
2Recall@k Surrogate loss (ResNet-50)Rank-193.8Unverified
3PNP LossRank-193.2Unverified
4RPTMRank-192.9Unverified
5Smooth-APRank-191.9Unverified
6ANetRank-180.5Unverified
7vehiclenetRank-179.46Unverified
8MSINet (2.3M w/o RK)Rank-177.9Unverified
9CALRank-175.1Unverified
10QD-DLFmAP68.41Unverified
#ModelMetricClaimedVerifiedStatus
1Recall@k Surrogate loss (ViT-B/16)Rank-195.2Unverified
2Recall@k Surrogate loss (ResNet-50)Rank-194.6Unverified
3PNP LossRank-194.2Unverified
4RPTMRank-193.3Unverified
5Smooth-APRank-193.3Unverified
6ANetRank-182.8Unverified
7vehiclenetRank-181.35Unverified
8CALRank-178.2Unverified
9QD-DLFmAP74.63Unverified
#ModelMetricClaimedVerifiedStatus
1Baseline ModelMAP0.78Unverified
2abu_0916MAP0.78Unverified
3Juice LeeMAP0.7Unverified
4nangggMAP0.63Unverified
5asdfMAP0.62Unverified
692MAP0.56Unverified
#ModelMetricClaimedVerifiedStatus
1MBR-4B (without RK)Rank196.6Unverified
2ANetRank196.5Unverified
3ResNet50-IBNmAP73.4Unverified
#ModelMetricClaimedVerifiedStatus
1Baseline ModelMAP0.79Unverified
2Juice LeeMAP0.69Unverified
3nangggMAP0.62Unverified
#ModelMetricClaimedVerifiedStatus
1vehiclenetmAP83.41Unverified
2VKD (ResVKD-50)mAP82.2Unverified
#ModelMetricClaimedVerifiedStatus
1ANetmAP75.9Unverified
2ResNet50-IBNmAP58.62Unverified
#ModelMetricClaimedVerifiedStatus
1A Strong BaselinemAP61.34Unverified
#ModelMetricClaimedVerifiedStatus
1VehicleNetRank183.64Unverified
#ModelMetricClaimedVerifiedStatus
1ANetRank195.2Unverified