SOTAVerified

Metric Learning

The goal of Metric Learning is to learn a representation function that maps objects into an embedded space. The distance in the embedded space should preserve the objects’ similarity — similar objects get close and dissimilar objects get far away. Various loss functions have been developed for Metric Learning. For example, the contrastive loss guides the objects from the same class to be mapped to the same point and those from different classes to be mapped to different points whose distances are larger than a margin. Triplet loss is also popular, which requires the distance between the anchor sample and the positive sample to be smaller than the distance between the anchor sample and the negative sample.

Source: Road Network Metric Learning for Estimated Time of Arrival

Papers

Showing 14511500 of 1648 papers

TitleStatusHype
End-to-End Supervised Hierarchical Graph Clustering for Speaker DiarizationCode0
Domain Generalization via Model-Agnostic Learning of Semantic FeaturesCode0
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case StudyCode0
Domain-aware Triplet loss in Domain GeneralizationCode0
Curvilinear Distance Metric LearningCode0
Supervized Segmentation with Graph-Structured Deep Metric LearningCode0
Biconvex Relaxation for Semidefinite Programming in Computer VisionCode0
Self-Supervised Metric Learning With Graph Clustering For Speaker DiarizationCode0
Do Lessons from Metric Learning Generalize to Image-Caption Retrieval?Code0
Learning to Rank Using Localized Geometric Mean MetricsCode0
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?Code0
Divide and Conquer the Embedding Space for Metric LearningCode0
Curvature Augmented Manifold Embedding and LearningCode0
Learning Transferable Reward for Query Object Localization with Policy AdaptationCode0
A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationshipsCode0
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog ModelCode0
Person Re-identification by Local Maximal Occurrence Representation and Metric LearningCode0
Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General RelativityCode0
Triplet-Center Loss for Multi-View 3D Object RetrievalCode0
A Continual Development Methodology for Large-scale Multitask Dynamic ML SystemsCode0
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud RegistrationCode0
A Novel Center-based Deep Contrastive Metric Learning Method for the Detection of Polymicrogyria in Pediatric Brain MRICode0
Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class DetectionCode0
Deep Anomaly Detection for Generalized Face Anti-SpoofingCode0
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender SystemsCode0
Linear Dimensionality Reduction: Survey, Insights, and GeneralizationsCode0
Semantic Instance Segmentation via Deep Metric LearningCode0
Semantic Instance Segmentation with a Discriminative Loss FunctionCode0
Diverse Few-Shot Text Classification with Multiple MetricsCode0
Distinguishability Calibration to In-Context LearningCode0
Task-Embedded Control Networks for Few-Shot Imitation LearningCode0
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous ActionsCode0
Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center LossCode0
Distance-Ratio-Based Formulation for Metric LearningCode0
Noise-robust Graph Learning by Estimating and Leveraging Pairwise InteractionsCode0
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric LearningCode0
Low-rank geometric mean metric learningCode0
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating TheoremCode0
M^2S-Net: Multi-Modal Similarity Metric Learning based Deep Convolutional Network for Answer SelectionCode0
Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identificationCode0
M-ADDA: Unsupervised Domain Adaptation with Deep Metric LearningCode0
Task-Sensitive Concept Drift Detector with Constraint EmbeddingCode0
Distance Metric Learning with Joint Representation DiversificationCode0
Make SVM great again with Siamese kernel for few-shot learningCode0
Classification is a Strong Baseline for Deep Metric LearningCode0
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain NetworksCode0
Adversarial Skill Networks: Unsupervised Robot Skill Learning from VideoCode0
Global Ground Metric Learning with Applications to scRNA dataCode0
MARTA: a model for the automatic phonemic grouping of the parkinsonian speechCode0
Masked Proxy Loss For Text-Independent Speaker VerificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@198.2Unverified
2Hyp-DINO 8x8R@192.8Unverified
3ResNet-50 + AVSLR@191.5Unverified
4NEDR@191.5Unverified
5ResNet-50 + Intra-Batch (ensemble of 5)R@191.5Unverified
6EfficientDML-VPTSP-G/512R@191.2Unverified
7CCL (ResNet-50)R@191.02Unverified
8ResNet50 + LanguageR@190.2Unverified
9ResNet-50 + MetrixR@189.6Unverified
10ResNet50 + S2SDR@189.5Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@191.2Unverified
2STIRR@188.3Unverified
3Recall@k Surrogate Loss (ViT-B/16)R@188Unverified
4ViT-TripletR@186.5Unverified
5ROADMAP (DeiT-S)R@186Unverified
6Hyp-ViTR@185.9Unverified
7Hyp-DINOR@185.1Unverified
8Recall@k Surrogate Loss (ViT-B/32)R@185.1Unverified
9CCL (ResNet-50)R@183.1Unverified
10ROADMAP (ResNet-50)R@183.1Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@190.1Unverified
2EfficientDML-VPTSP-G/512R@188.5Unverified
3Hyp-ViTR@185.6Unverified
4Hyp-DINOR@180.9Unverified
5NEDR@174.9Unverified
6CCL (ResNet-50)R@173.45Unverified
7ResNet-50 + AVSLR@171.9Unverified
8ResNet-50 + Intra-Batch ConnectionsR@171.8Unverified
9ResNet50 + LanguageR@171.4Unverified
10ResNet-50 + MetrixR@171.4Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@196.7Unverified
2STIRR@195Unverified
3MGAR@194.3Unverified
4Hyp-ViTR@192.5Unverified
5Hyp-DINOR@192.4Unverified
6CCL (ResNet-50)R@192.31Unverified
7Gradient SurgeryR@192.21Unverified
8ResNet-50 + MetrixR@192.2Unverified
9EfficientDML-VPTSP-G/512R@192.1Unverified
10ViT-TripletR@192.1Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP43.8Unverified
2CSLAverage-mAP31Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP38Unverified
2CSLAverage-mAP28.7Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP37Unverified
2CSLAverage-mAP12.1Unverified