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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–700 of 1648 papers

TitleStatusHype
Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints—0
Dynamic Sampling for Deep Metric Learning—0
Adversarial Deep Metric Learning for Cross-Modal Audio-Text Alignment in Open-Vocabulary Keyword Spotting—0
Dynamic Metric Learning from Pairwise Comparisons—0
Dynamic Curriculum Learning for Imbalanced Data Classification—0
Dynamic Contrastive Distillation for Image-Text Retrieval—0
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting—0
Collaborative Preference Embedding against Sparse Labels—0
A novel statistical metric learning for hyperspectral image classification—0
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems—0
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition—0
Collaborative Metric Learning Recommendation System: Application to Theatrical Movie Releases—0
A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree—0
Adversarial Deep Metric Learning—0
Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction—0
DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction—0
Do not trust the neighbors! Adversarial Metric Learning for Self-Supervised Scene Flow Estimation—0
Coded Residual Transform for Generalizable Deep Metric Learning—0
A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery—0
Domain Private and Agnostic Feature for Modality Adaptive Face Recognition—0
CNN Retrieval based Unsupervised Metric Learning for Near-Duplicated Video Retrieval—0
Domain Generalization via Optimal Transport with Metric Similarity Learning—0
Cluster Head Detection for Hierarchical UAV Swarm With Graph Self-supervised Learning—0
A Novel Random Forest Dissimilarity Measure for Multi-View Learning—0
Domain Agnostic Few-Shot Learning For Document Intelligence—0
A Broad Dataset is All You Need for One-Shot Object Detection—0
DMML-Net: Deep Metametric Learning for Few-Shot Geographic Object Segmentation in Remote Sensing Imagery—0
DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval—0
Closed-Form Training of Mahalanobis Distance for Supervised Clustering—0
Diversified Mutual Learning for Deep Metric Learning—0
CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition—0
A novel approach to data generation in generative model—0
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples—0
3D Instance Segmentation via Multi-Task Metric Learning—0
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction—0
DCA: Diversified Co-Attention towards Informative Live Video Commenting—0
Class-Specific Channel Attention for Few-Shot Learning—0
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation—0
Classifying All Interacting Pairs in a Single Shot—0
Distribution Context Aware Loss for Person Re-identification—0
Distributionally Robust Weighted k-Nearest Neighbors—0
Class Anchor Margin Loss for Content-Based Image Retrieval—0
Anomaly Triplet-Net: Progress Recognition Model Using Deep Metric Learning Considering Occlusion for Manual Assembly Work—0
A Distributed Approach towards Discriminative Distance Metric Learning—0
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels—0
Distance Metric Learning through Minimization of the Free Energy—0
Distance Metric Learning Loss Functions in Few-Shot Scenarios of Supervised Language Models Fine-Tuning—0
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches—0
Anomalous Sound Detection Using a Binary Classification Model and Class Centroids—0
A Distance Metric Learning Model Based On Variational Information Bottleneck—0
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All datasetsCARS196Stanford Online ProductsCUB-200-2011In-ShopDyML-AnimalDyML-ProductDyML-Vehicle

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