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 150 of 150 papers

TitleStatusHype
CORE-ReID V2: Advancing the Domain Adaptation for Object Re-Identification with Optimized Training and Ensemble FusionCode0
Collaborative Enhancement Network for Low-quality Multi-spectral Vehicle Re-identificationCode0
CLIP-SENet: CLIP-based Semantic Enhancement Network for Vehicle Re-identification0
UCM-VeID V2: A Richer Dataset and A Pre-training Method for UAV Cross-Modality Vehicle Re-Identification0
Adaptive Aspect Ratios with Patch-Mixup-ViT-based Vehicle ReIDCode0
Revisiting Multi-Granularity Representation via Group Contrastive Learning for Unsupervised Vehicle Re-identification0
Multimodality Adaptive Transformer and Mutual Learning for Unsupervised Domain Adaptation Vehicle Re-Identification0
UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking0
Optimizing ROI Benefits Vehicle ReID in ITS0
Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification0
Study on Aspect Ratio Variability toward Robustness of Vision Transformer-based Vehicle Re-identification0
Enhancing Vehicle Re-identification and Matching for Weaving AnalysisCode0
Dual-Level Viewpoint-Learning for Cross-Domain Vehicle Re-Identification0
SemHARQ: Semantic-Aware HARQ for Multi-task Semantic Communications0
Vision-based Vehicle Re-identification in Bridge Scenario using Flock Similarity0
A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges0
Day-Night Cross-domain Vehicle Re-identificationCode2
Cluster images with AntClust: a clustering algorithm based on the chemical recognition system of ants0
VehicleGAN: Pair-flexible Pose Guided Image Synthesis for Vehicle Re-identification0
CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identificationCode1
DSAM-GN:Graph Network based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification0
Multi‑camera trajectory matching based on hierarchical clustering and constraintsCode1
Beyond Sharing Weights in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-IdentificationCode0
Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-IdentificationCode1
Spatial-temporal Vehicle Re-identification0
Rethinking Person Re-identification from a Projection-on-Prototypes Perspective0
Large-scale Fully-Unsupervised Re-Identification0
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks0
Unsupervised Vehicle Re-Identification Based on Cross-Style Semi-Supervised Pre-Training and Feature Cross-Division0
A Novel Dual-pooling Attention Module for UAV Vehicle Re-identification0
Multi-query Vehicle Re-identification: Viewpoint-conditioned Network, Unified Dataset and New Metric0
Flare-Aware Cross-modal Enhancement Network for Multi-spectral Vehicle Re-identificationCode1
Image-to-image domain adaptation for vehicle re-identification0
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReIDCode1
SIVD: Dataset of Iranian Vehicles for Real-Time Multi-Camera Video Tracking and RecognitionCode1
ConMAE: Contour Guided MAE for Unsupervised Vehicle Re-IdentificationCode0
Self-supervised Geometric Features Discovery via Interpretable Attentio for Vehicle Re-Identification and Beyond (Complete Version)Code0
Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identificationCode0
Complete Solution for Vehicle Re-ID in Surround-view Camera System0
CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text LabelsCode2
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-IdentificationCode0
Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual CitiesCode1
Enhanced Vehicle Re-identification for ITS: A Feature Fusion approach using Deep Learning0
Multi-spectral Vehicle Re-identification with Cross-directional Consistency Network and a High-quality BenchmarkCode1
UFO: Unified Feature OptimizationCode1
Scalable Vehicle Re-Identification via Self-Supervision0
Discriminative-Region Attention and Orthogonal-View Generation Model for Vehicle Re-Identification0
Global-Supervised Contrastive Loss and View-Aware-Based Post-Processing for Vehicle Re-Identification0
Self-aligned Spatial Feature Extraction Network for UAV Vehicle Re-identification0
DVHN: A Deep Hashing Framework for Large-scale Vehicle Re-identification0
Show:102550
← PrevPage 1 of 3Next →

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