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 251–300 of 1648 papers

TitleStatusHype
FlashMix: Fast Map-Free LiDAR Localization via Feature Mixing and Contrastive-Constrained Accelerated TrainingCode1
Few-Shot Specific Emitter Identification via Deep Metric Ensemble LearningCode1
Cross-Batch Memory for Embedding LearningCode1
1st Place Solution to Google Landmark Retrieval 2020Code1
Deep multi-metric learning for text-independent speaker verificationCode1
DiVA: Diverse Visual Feature Aggregation for Deep Metric LearningCode1
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill IdentificationCode1
Deformation-Aware 3D Model Embedding and RetrievalCode1
GSV-Cities: Toward Appropriate Supervised Visual Place RecognitionCode1
Directional Statistics-based Deep Metric Learning for Image Classification and RetrievalCode1
Contrastive Bayesian Analysis for Deep Metric LearningCode1
Distance-wise Prototypical Graph Neural Network in Node Imbalance ClassificationCode1
Contrastive Learning with Hard Negative SamplesCode1
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual LocalizationCode1
Learning RGB-D Feature Embeddings for Unseen Object Instance SegmentationCode1
Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic ScalesCode1
DAS: Densely-Anchored Sampling for Deep Metric LearningCode1
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity RecognitionCode1
Embedding Transfer with Label Relaxation for Improved Metric LearningCode1
Emotion-Based End-to-End Matching Between Image and Music in Valence-Arousal SpaceCode1
A Retrofitting Model for Incorporating Semantic Relations into Word Embeddings—0
Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation—0
Deep Metric Learning with Alternating Projections onto Feasible Sets—0
Relaxed N-Pairs Loss for Context-Aware Recommendations of Television Content—0
Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization?—0
Active Learning based on Data Uncertainty and Model Sensitivity—0
Deep Metric Learning with Density Adaptivity—0
Content-Based Brain Tumor Retrieval for MR Images Using Transfer Learning—0
Construct Informative Triplet with Two-stage Hard-sample Generation—0
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization—0
Constraint Selection in Metric Learning—0
Constrained Deep Metric Learning for Person Re-identification—0
A Probabilistic approach for Learning Embeddings without Supervision—0
Adversarial Metric Learning—0
Deep Metric Learning with Hierarchical Triplet Loss—0
Constellation Loss: Improving the efficiency of deep metric learning loss functions for optimal embedding—0
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification—0
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives—0
ConceptBeam: Concept Driven Target Speech Extraction—0
Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test—0
Deep Metric Learning via Adaptive Learnable Assessment—0
Compare learning: bi-attention network for few-shot learning—0
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation—0
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization—0
Action Quality Assessment using Siamese Network-Based Deep Metric Learning—0
3D Point Cloud Enhancement using Graph-Modelled Multiview Depth Measurements—0
AdaMS: Deep Metric Learning with Adaptive Margin and Adaptive Scale for Acoustic Word Discrimination—0
Deep Metric Learning with Locality Sensitive Angular Loss for Self-Correcting Source Separation of Neural Spiking Signals—0
Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification—0
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@198.2—Unverified
2Hyp-DINO 8x8R@192.8—Unverified
3ResNet-50 + AVSLR@191.5—Unverified
4NEDR@191.5—Unverified
5ResNet-50 + Intra-Batch (ensemble of 5)R@191.5—Unverified
6EfficientDML-VPTSP-G/512R@191.2—Unverified
7CCL (ResNet-50)R@191.02—Unverified
8ResNet50 + LanguageR@190.2—Unverified
9ResNet-50 + MetrixR@189.6—Unverified
10ResNet50 + S2SDR@189.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@191.2—Unverified
2STIRR@188.3—Unverified
3Recall@k Surrogate Loss (ViT-B/16)R@188—Unverified
4ViT-TripletR@186.5—Unverified
5ROADMAP (DeiT-S)R@186—Unverified
6Hyp-ViTR@185.9—Unverified
7Hyp-DINOR@185.1—Unverified
8Recall@k Surrogate Loss (ViT-B/32)R@185.1—Unverified
9CCL (ResNet-50)R@183.1—Unverified
10ROADMAP (ResNet-50)R@183.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@190.1—Unverified
2EfficientDML-VPTSP-G/512R@188.5—Unverified
3Hyp-ViTR@185.6—Unverified
4Hyp-DINOR@180.9—Unverified
5NEDR@174.9—Unverified
6CCL (ResNet-50)R@173.45—Unverified
7ResNet-50 + AVSLR@171.9—Unverified
8ResNet-50 + Intra-Batch ConnectionsR@171.8—Unverified
9ResNet50 + LanguageR@171.4—Unverified
10ResNet-50 + MetrixR@171.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@196.7—Unverified
2STIRR@195—Unverified
3MGAR@194.3—Unverified
4Hyp-ViTR@192.5—Unverified
5Hyp-DINOR@192.4—Unverified
6CCL (ResNet-50)R@192.31—Unverified
7Gradient SurgeryR@192.21—Unverified
8ResNet-50 + MetrixR@192.2—Unverified
9EfficientDML-VPTSP-G/512R@192.1—Unverified
10ViT-TripletR@192.1—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP43.8—Unverified
2CSLAverage-mAP31—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP38—Unverified
2CSLAverage-mAP28.7—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP37—Unverified
2CSLAverage-mAP12.1—Unverified