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 125 of 150 papers

TitleStatusHype
Multi-Domain Learning and Identity Mining for Vehicle Re-IdentificationCode2
CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text LabelsCode2
Day-Night Cross-domain Vehicle Re-identificationCode2
FastReID: A Pytorch Toolbox for General Instance Re-identificationCode2
PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-IdentificationCode1
Recall@k Surrogate Loss with Large Batches and Similarity MixupCode1
Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification SystemsCode1
Connecting Language and Vision for Natural Language-Based Vehicle RetrievalCode1
Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention NetworkCode1
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationCode1
Heterogeneous Relational Complement for Vehicle Re-identificationCode1
Parsing-based View-aware Embedding Network for Vehicle Re-IdentificationCode1
A Strong Baseline for Vehicle Re-IdentificationCode1
Flare-Aware Cross-modal Enhancement Network for Multi-spectral Vehicle Re-identificationCode1
CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identificationCode1
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReIDCode1
Improving Vehicle Re-Identification using CNN Latent Spaces: Metrics Comparison and Track-to-track ExtensionCode1
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and BeyondCode1
An Empirical Study of Vehicle Re-Identification on the AI City ChallengeCode1
City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad ZonesCode1
Multi‑camera trajectory matching based on hierarchical clustering and constraintsCode1
Multi-spectral Vehicle Re-identification with Cross-directional Consistency Network and a High-quality BenchmarkCode1
Cluster Contrast for Unsupervised Person Re-IdentificationCode1
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic DataCode1
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is EnoughCode1
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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