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 11511200 of 1648 papers

TitleStatusHype
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval0
Optimal Feature Transport for Cross-View Image Geo-LocalizationCode0
Routine Modeling with Time Series Metric Learning0
Revisiting Metric Learning for Few-Shot Image Classification0
Learning to Link0
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems0
Trade-offs in Large-Scale Distributed Tuplewise Estimation and LearningCode0
3D Instance Segmentation via Multi-Task Metric Learning0
Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition0
SAR Image Change Detection via Spatial Metric Learning with an Improved Mahalanobis Distance0
Multi-Scale Convolutions for Learning Context Aware Feature Representations0
Divide and Conquer the Embedding Space for Metric LearningCode0
R2D2: Repeatable and Reliable Detector and DescriptorCode1
Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse DatasetCode1
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist ContinuationCode0
Collaborative Translational Metric LearningCode1
Linear and Quadratic Discriminant Analysis: TutorialCode0
Metric Learning for Individual Fairness0
Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates0
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object DetectionCode0
Deep Asymmetric Metric Learning via Rich Relationship Mining0
Deep Metric Learning to RankCode0
Stochastic Class-Based Hard Example Mining for Deep Metric Learning0
CLAREL: Classification via retrieval loss for zero-shot learning0
Regression Networks for Meta-Learning Few-Shot ClassificationCode0
A Music Classification Model based on Metric Learning and Feature Extraction from MP3 Audio Files0
The General Pair-based Weighting Loss for Deep Metric Learning0
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning0
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering0
Discrete Infomax Codes for Supervised Representation Learning0
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss0
Learning to Approximate a Bregman DivergenceCode0
Matching on What Matters: A Pseudo-Metric Learning Approach to Matching Estimation in High Dimensions0
Finding Task-Relevant Features for Few-Shot Learning by Category TraversalCode0
Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine SimilarityCode0
Constellation Loss: Improving the efficiency of deep metric learning loss functions for optimal embedding0
Robust Mahalanobis Metric Learning via Geometric Approximation Algorithms0
Hierarchical Annotation of Images with Two-Alternative-Forced-Choice Metric Learning0
Variational Prototype Replays for Continual LearningCode0
Neural Metric Learning for Fast End-to-End Relation Extraction0
Prototypical Bregman Networks0
Embeddings and Representation Learning for Structured Data0
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment0
A novel statistical metric learning for hyperspectral image classification0
A Distributed Approach towards Discriminative Distance Metric Learning0
Self-Supervised Visual Place Recognition Learning in Mobile Robots0
Supervized Segmentation with Graph-Structured Deep Metric LearningCode0
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training0
Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity0
Unsupervised Domain Adaptation for Distance Metric Learning0
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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