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 1301–1350 of 1648 papers

TitleStatusHype
DeepVisage: Making face recognition simple yet with powerful generalization skills—0
Depth-discriminative Metric Learning for Monocular 3D Object Detection—0
Designing an Effective Metric Learning Pipeline for Speaker Diarization—0
Designovel's system description for Fashion-IQ challenge 2019—0
Detecting Deep-Fake Videos from Appearance and Behavior—0
Detection of Peculiar Word Sense by Distance Metric Learning with Labeled Examples—0
Detect Professional Malicious User with Metric Learning in Recommender Systems—0
DIABLO: Dictionary-based Attention Block for Deep Metric Learning—0
Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates—0
Dimension Free Generalization Bounds for Non Linear Metric Learning—0
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation—0
Discrete Infomax Codes for Supervised Representation Learning—0
Discrete InfoMax Codes for Meta-Learning—0
Discriminative Deep Metric Learning for Face Verification in the Wild—0
Discriminative Learning of Similarity and Group Equivariant Representations—0
Discriminative Metric Learning by Neighborhood Gerrymandering—0
Discriminative Metric Learning with Deep Forest—0
Discriminative Representation Loss (DRL): A More Efficient Approach than Gradient Re-Projection in Continual Learning—0
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI—0
Disentangled Multidimensional Metric Learning for Music Similarity—0
Disentangled representation learning for multilingual speaker recognition—0
Disentanglement for Discriminative Visual Recognition—0
Dissecting the impact of different loss functions with gradient surgery—0
Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning—0
Distance metric learning based on structural neighborhoods for dimensionality reduction and classification performance improvement—0
Distance Metric Learning for Aspect Phrase Grouping—0
Distance Metric Learning Loss Functions in Few-Shot Scenarios of Supervised Language Models Fine-Tuning—0
Distance Metric Learning through Minimization of the Free Energy—0
Distributionally Robust Weighted k-Nearest Neighbors—0
Distribution Context Aware Loss for Person Re-identification—0
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation—0
DCA: Diversified Co-Attention towards Informative Live Video Commenting—0
Diversified Mutual Learning for Deep Metric Learning—0
DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval—0
DMML-Net: Deep Metametric Learning for Few-Shot Geographic Object Segmentation in Remote Sensing Imagery—0
Domain Agnostic Few-Shot Learning For Document Intelligence—0
Domain Generalization via Optimal Transport with Metric Similarity Learning—0
Domain Private and Agnostic Feature for Modality Adaptive Face Recognition—0
Do not trust the neighbors! Adversarial Metric Learning for Self-Supervised Scene Flow Estimation—0
DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction—0
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition—0
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting—0
Dynamic Contrastive Distillation for Image-Text Retrieval—0
Dynamic Curriculum Learning for Imbalanced Data Classification—0
Dynamic Metric Learning from Pairwise Comparisons—0
Dynamic Sampling for Deep Metric Learning—0
Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints—0
Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD)—0
Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning—0
Efficient Malware Analysis Using Metric Embeddings—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
3NEDR@191.5—Unverified
4ResNet-50 + Intra-Batch (ensemble of 5)R@191.5—Unverified
5ResNet-50 + AVSLR@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