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 101–125 of 150 papers

TitleStatusHype
Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identificationCode0
Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification—0
Vehicle Re-Identification Based on Complementary FeaturesCode1
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic DataCode1
The 4th AI City Challenge—0
StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification—0
Multi-Domain Learning and Identity Mining for Vehicle Re-IdentificationCode2
VOC-ReID: Vehicle Re-identification based on Vehicle-Orientation-CameraCode1
Dual Embedding Expansion for Vehicle Re-identification—0
VehicleNet: Learning Robust Visual Representation for Vehicle Re-identificationCode0
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification—0
Parsing-based View-aware Embedding Network for Vehicle Re-IdentificationCode1
DCDLearn: Multi-order Deep Cross-distance Learning for Vehicle Re-Identification—0
Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification—0
Looking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with Global and Local Attention—0
Attribute-guided Feature Learning Network for Vehicle Re-identification—0
Eliminating cross-camera bias for vehicle re-identification—0
Simulating Content Consistent Vehicle Datasets with Attribute DescentCode1
Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking and Vehicle Re-ID in Multi-Camera Networks—0
Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural NetworksCode0
Improving Vehicle Re-Identification using CNN Latent Spaces: Metrics Comparison and Track-to-track ExtensionCode1
Background Segmentation for Vehicle Re-Identification—0
Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification—0
Vehicle Re-identification with Viewpoint-aware Metric Learning—0
Deep Meta Metric LearningCode0
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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