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 251300 of 1648 papers

TitleStatusHype
Continual Learning of Object InstancesCode1
1st Place Solution to Google Landmark Retrieval 2020Code1
Cross-Batch Memory for Embedding LearningCode1
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer ProxiesCode1
Deep Metric Learning by Online Soft Mining and Class-Aware AttentionCode1
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 Embeddings0
Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation0
Deep Metric Learning with Soft Orthogonal Proxies0
Relaxed N-Pairs Loss for Context-Aware Recommendations of Television Content0
Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization?0
Active Learning based on Data Uncertainty and Model Sensitivity0
Deep Metric Learning with Spherical Embedding0
Content-Based Brain Tumor Retrieval for MR Images Using Transfer Learning0
Construct Informative Triplet with Two-stage Hard-sample Generation0
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization0
Constraint Selection in Metric Learning0
Constrained Deep Metric Learning for Person Re-identification0
A Probabilistic approach for Learning Embeddings without Supervision0
Adversarial Metric Learning0
Deep Metric Learning With Tuplet Margin Loss0
Constellation Loss: Improving the efficiency of deep metric learning loss functions for optimal embedding0
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification0
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives0
ConceptBeam: Concept Driven Target Speech Extraction0
Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test0
Deep Metric Learning with Hierarchical Triplet Loss0
Compare learning: bi-attention network for few-shot learning0
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation0
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization0
Action Quality Assessment using Siamese Network-Based Deep Metric Learning0
3D Point Cloud Enhancement using Graph-Modelled Multiview Depth Measurements0
Deep Metric Learning with Locality Sensitive Angular Loss for Self-Correcting Source Separation of Neural Spiking Signals0
Deep Metric Multi-View Hashing for Multimedia Retrieval0
Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification0
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval0
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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