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 301–350 of 1648 papers

TitleStatusHype
Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction—0
Adversarial Deep Metric Learning for Cross-Modal Audio-Text Alignment in Open-Vocabulary Keyword Spotting—0
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI—0
A novel statistical metric learning for hyperspectral image classification—0
Collaborative Preference Embedding against Sparse Labels—0
Adversarial Deep Metric Learning—0
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems—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
Discriminative Representation Loss (DRL): A More Efficient Approach than Gradient Re-Projection in Continual Learning—0
A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery—0
Coded Residual Transform for Generalizable Deep Metric Learning—0
A Novel Random Forest Dissimilarity Measure for Multi-View Learning—0
CNN Retrieval based Unsupervised Metric Learning for Near-Duplicated Video Retrieval—0
Cluster Head Detection for Hierarchical UAV Swarm With Graph Self-supervised Learning—0
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction—0
A Broad Dataset is All You Need for One-Shot Object Detection—0
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples—0
Closed-Form Training of Mahalanobis Distance for Supervised Clustering—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
3D Instance Segmentation via Multi-Task Metric Learning—0
Discriminative Metric Learning with Deep Forest—0
Disentangled Multidimensional Metric Learning for Music Similarity—0
Distance Metric Learning Loss Functions in Few-Shot Scenarios of Supervised Language Models Fine-Tuning—0
Class-Specific Channel Attention for Few-Shot Learning—0
Classifying All Interacting Pairs in a Single Shot—0
Anomaly Triplet-Net: Progress Recognition Model Using Deep Metric Learning Considering Occlusion for Manual Assembly Work—0
Class Anchor Margin Loss for Content-Based Image Retrieval—0
A Distributed Approach towards Discriminative Distance Metric Learning—0
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation—0
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels—0
Anomalous Sound Detection Using a Binary Classification Model and Class Centroids—0
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches—0
A Distance Metric Learning Model Based On Variational Information Bottleneck—0
Discriminative Deep Metric Learning for Face Verification in the Wild—0
Channel Interaction Networks for Fine-Grained Image Categorization—0
Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval—0
A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification—0
Challenge report: Recognizing Families In the Wild Data Challenge—0
Centroid-based deep metric learning for speaker recognition—0
Annotation Cost Efficient Active Learning for Content Based Image Retrieval—0
A Deep Structure of Person Re-Identification using Multi-Level Gaussian Models—0
Center Contrastive Loss for Metric Learning—0
CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery—0
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness—0
Catching Image Retrieval Generalization—0
Discrete InfoMax Codes for Meta-Learning—0
Discriminative Learning of Similarity and Group Equivariant Representations—0
Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learning—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