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 5175 of 150 papers

TitleStatusHype
Part-level Car Parsing and Reconstruction from Single Street View0
Part-Regularized Near-Duplicate Vehicle Re-Identification0
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks0
Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification0
Progressive learning with multi-scale attention network for cross-domain vehicle re-identification0
RAM: A Region-Aware Deep Model for Vehicle Re-Identification0
Revisiting Multi-Granularity Representation via Group Contrastive Learning for Unsupervised Vehicle Re-identification0
Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking and Vehicle Re-ID in Multi-Camera Networks0
Scalable Vehicle Re-Identification via Self-Supervision0
Self-aligned Spatial Feature Extraction Network for UAV Vehicle Re-identification0
Rethinking Person Re-identification from a Projection-on-Prototypes Perspective0
A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges0
A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance0
A Novel Dual-pooling Attention Module for UAV Vehicle Re-identification0
A survey of advances in vision-based vehicle re-identification0
Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification0
Attribute-guided Feature Learning Network for Vehicle Re-identification0
AttributeNet: Attribute Enhanced Vehicle Re-Identification0
Attributes Guided Feature Learning for Vehicle Re-identification0
A unified neural network for object detection, multiple object tracking and vehicle re-identification0
Background Segmentation for Vehicle Re-Identification0
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification0
CLIP-SENet: CLIP-based Semantic Enhancement Network for Vehicle Re-identification0
Cluster images with AntClust: a clustering algorithm based on the chemical recognition system of ants0
Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification0
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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