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 1–50 of 150 papers

TitleStatusHype
CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text LabelsCode2
FastReID: A Pytorch Toolbox for General Instance Re-identificationCode2
Day-Night Cross-domain Vehicle Re-identificationCode2
Multi-Domain Learning and Identity Mining for Vehicle Re-IdentificationCode2
Cluster Contrast for Unsupervised Person Re-IdentificationCode1
Robust Re-Identification by Multiple Views Knowledge DistillationCode1
City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad ZonesCode1
SIVD: Dataset of Iranian Vehicles for Real-Time Multi-Camera Video Tracking and RecognitionCode1
Understanding Image Retrieval Re-Ranking: A Graph Neural Network PerspectiveCode1
UFO: Unified Feature OptimizationCode1
Vehicle Re-Identification Based on Complementary FeaturesCode1
Heterogeneous Relational Complement for Vehicle Re-identificationCode1
Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual CitiesCode1
Connecting Language and Vision for Natural Language-Based Vehicle RetrievalCode1
Flare-Aware Cross-modal Enhancement Network for Multi-spectral Vehicle Re-identificationCode1
PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-IdentificationCode1
Multi-spectral Vehicle Re-identification with Cross-directional Consistency Network and a High-quality BenchmarkCode1
Parsing-based View-aware Embedding Network for Vehicle Re-IdentificationCode1
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is EnoughCode1
Simulating Content Consistent Vehicle Datasets with Attribute DescentCode1
Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-IdentificationCode1
TransReID: Transformer-based Object Re-IdentificationCode1
Improving Vehicle Re-Identification using CNN Latent Spaces: Metrics Comparison and Track-to-track ExtensionCode1
VehicleNet: Learning Robust Feature Representation for Vehicle Re-identificationCode1
VOC-ReID: Vehicle Re-identification based on Vehicle-Orientation-CameraCode1
Variational Representation Learning for Vehicle Re-IdentificationCode1
A Strong Baseline for Vehicle Re-IdentificationCode1
The 5th AI City ChallengeCode1
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationCode1
Smooth-AP: Smoothing the Path Towards Large-Scale Image RetrievalCode1
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReIDCode1
Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention NetworkCode1
Multi‑camera trajectory matching based on hierarchical clustering and constraintsCode1
Recall@k Surrogate Loss with Large Batches and Similarity MixupCode1
CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identificationCode1
Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature DictionaryCode1
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and BeyondCode1
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic DataCode1
An Empirical Study of Vehicle Re-Identification on the AI City ChallengeCode1
Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification SystemsCode1
Context-Aware Graph Convolution Network for Target Re-identification—0
A unified neural network for object detection, multiple object tracking and vehicle re-identification—0
Complete Solution for Vehicle Re-ID in Surround-view Camera System—0
Image-based Vehicle Re-identification Model with Adaptive Attention Modules and Metadata Re-ranking—0
Image-to-image domain adaptation for vehicle re-identification—0
Attributes Guided Feature Learning for Vehicle Re-identification—0
Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification—0
A Novel Dual-pooling Attention Module for UAV Vehicle Re-identification—0
Enhanced Vehicle Re-identification for ITS: A Feature Fusion approach using Deep Learning—0
Cluster images with AntClust: a clustering algorithm based on the chemical recognition system of ants—0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MBR4B-LAI (w/ RK)mAP92.1—Unverified
2RPTMmAP88—Unverified
3A Strong BaselinemAP87.1—Unverified
4MBR4B-LAI (without re-ranking)mAP86—Unverified
5MBR4B (without re-ranking)mAP84.72—Unverified
6CLIP-ReID (without re-ranking)mAP84.5—Unverified
7VehicleNetmAP83.41—Unverified
8ProNet++ (ResNet50)mAP83.4—Unverified
9TransReIDmAP82.3—Unverified
10CA-JaccardmAP81.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Recall@k Surrogate loss (ViT-B/16)Rank-196.2—Unverified
2Recall@k Surrogate loss (ResNet-50)Rank-195.7—Unverified
3RPTMRank-195.5—Unverified
4PNP LossRank-195.5—Unverified
5Smooth-APRank-194.9—Unverified
6MBR-4B (without RK)Rank-188.3—Unverified
7ANetRank-187.9—Unverified
8CLIP-ReID (without re-ranking)Rank-185.5—Unverified
9GiTRank184.65—Unverified
10HPGNRank183.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Recall@k Surrogate loss (ViT-B/16)Rank-194.7—Unverified
2Recall@k Surrogate loss (ResNet-50)Rank-193.8—Unverified
3PNP LossRank-193.2—Unverified
4RPTMRank-192.9—Unverified
5Smooth-APRank-191.9—Unverified
6ANetRank-180.5—Unverified
7vehiclenetRank-179.46—Unverified
8MSINet (2.3M w/o RK)Rank-177.9—Unverified
9CALRank-175.1—Unverified
10QD-DLFmAP68.41—Unverified
#ModelMetricClaimedVerifiedStatus
1Recall@k Surrogate loss (ViT-B/16)Rank-195.2—Unverified
2Recall@k Surrogate loss (ResNet-50)Rank-194.6—Unverified
3PNP LossRank-194.2—Unverified
4RPTMRank-193.3—Unverified
5Smooth-APRank-193.3—Unverified
6ANetRank-182.8—Unverified
7vehiclenetRank-181.35—Unverified
8CALRank-178.2—Unverified
9QD-DLFmAP74.63—Unverified
#ModelMetricClaimedVerifiedStatus
1Baseline ModelMAP0.78—Unverified
2abu_0916MAP0.78—Unverified
3Juice LeeMAP0.7—Unverified
4nangggMAP0.63—Unverified
5asdfMAP0.62—Unverified
692MAP0.56—Unverified
#ModelMetricClaimedVerifiedStatus
1MBR-4B (without RK)Rank196.6—Unverified
2ANetRank196.5—Unverified
3ResNet50-IBNmAP73.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Baseline ModelMAP0.79—Unverified
2Juice LeeMAP0.69—Unverified
3nangggMAP0.62—Unverified
#ModelMetricClaimedVerifiedStatus
1vehiclenetmAP83.41—Unverified
2VKD (ResVKD-50)mAP82.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ANetmAP75.9—Unverified
2ResNet50-IBNmAP58.62—Unverified
#ModelMetricClaimedVerifiedStatus
1A Strong BaselinemAP61.34—Unverified
#ModelMetricClaimedVerifiedStatus
1VehicleNetRank183.64—Unverified
#ModelMetricClaimedVerifiedStatus
1ANetRank195.2—Unverified