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 1351–1400 of 1648 papers

TitleStatusHype
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data—0
Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification—0
Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification—0
Embeddings and Representation Learning for Structured Data—0
Embedding Transfer via Smooth Contrastive Loss—0
EmbNum: Semantic labeling for numerical values with deep metric learning—0
End-to-End Data Visualization by Metric Learning and Coordinate Transformation—0
End-to-End Illuminant Estimation Based on Deep Metric Learning—0
End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching—0
End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification—0
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering—0
Learning Test-time Augmentation for Content-based Image Retrieval—0
Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches—0
Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces—0
Enhancing Martian Terrain Recognition with Deep Constrained Clustering—0
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT—0
Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric Learning Network—0
Enhancing Understanding Through Wildlife Re-Identification—0
Entity Hierarchy Embedding—0
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking—0
Evaluation of the impact of the indiscernibility relation on the fuzzy-rough nearest neighbours algorithm—0
Evidential Transformers for Improved Image Retrieval—0
Evolving Metric Learning for Incremental and Decremental Features—0
Exemplar-Centered Supervised Shallow Parametric Data Embedding—0
Expert-guided Regularization via Distance Metric Learning—0
Explainable Metric Learning for Deflating Data Bias—0
Exploiting the Matching Information in the Support Set for Few Shot Event Classification—0
Explore In-Context Segmentation via Latent Diffusion Models—0
A Framework for Behavioral Biometric Authentication using Deep Metric Learning on Mobile Devices—0
Exploring dual information in distance metric learning for clustering—0
Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract)—0
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study—0
Exponential Discriminative Metric Embedding in Deep Learning—0
Exposing Query Identification for Search Transparency—0
Extreme Triplet Learning: Effectively Optimizing Easy Positives and Hard Negatives—0
Eye Know You: Metric Learning for End-to-end Biometric Authentication Using Eye Movements from a Longitudinal Dataset—0
Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks—0
Fantope Regularization in Metric Learning—0
Fashion Image Retrieval with Multi-Granular Alignment—0
Fast and Robust Shortest Paths on Manifolds Learned from Data—0
Faster Algorithms for Learning Convex Functions—0
Fast Eye Detector Using Siamese Network for NIR Partial Face Images—0
Graph Metric Learning via Gershgorin Disc Alignment—0
Fast Metric Learning For Deep Neural Networks—0
Fast unsupervised ground metric learning with tree-Wasserstein distance—0
Feasibility Based Large Margin Nearest Neighbor Metric Learning—0
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains—0
Few-Shot Font Generation with Deep Metric Learning—0
Few-Shot Learning for Industrial Time Series: A Comparative Analysis Using the Example of Screw-Fastening Process Monitoring—0
Few-Shot Learning for Road Object Detection—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