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

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Showing 1101–1150 of 1648 papers

TitleStatusHype
A Music Classification Model based on Metric Learning and Feature Extraction from MP3 Audio Files—0
An Automated Vulnerability Detection Framework for Smart Contracts—0
Anchor-aware Deep Metric Learning for Audio-visual Retrieval—0
And what if two musical versions don't share melody, harmony, rhythm, or lyrics ?—0
An Effective Pipeline for a Real-world Clothes Retrieval System—0
An embedding for EEG signals learned using a triplet loss—0
An Enhanced Deep Feature Representation for Person Re-identification—0
A new dataset of dog breed images and a benchmark for fine-grained classification—0
Angular triangle distance for ordinal metric learning—0
Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks—0
Annotation Cost Efficient Active Learning for Content Based Image Retrieval—0
Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval—0
Anomalous Sound Detection Using a Binary Classification Model and Class Centroids—0
Anomaly Triplet-Net: Progress Recognition Model Using Deep Metric Learning Considering Occlusion for Manual Assembly Work—0
A novel approach to data generation in generative model—0
A Novel Random Forest Dissimilarity Measure for Multi-View Learning—0
A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery—0
A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree—0
A novel statistical metric learning for hyperspectral image classification—0
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval—0
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation—0
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives—0
A Probabilistic approach for Learning Embeddings without Supervision—0
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization—0
Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization?—0
A Retrofitting Model for Incorporating Semantic Relations into Word Embeddings—0
A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates—0
A Riemannian Approach to Ground Metric Learning for Optimal Transport—0
A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning—0
ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning—0
ASAP DML: Deep Metric Learning with Alternating Sets of Alternating Proxies—0
A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification—0
A Simple Way to Learn Metrics Between Attributed Graphs—0
A Sketch Based 3D Shape Retrieval Approach Based on Efficient Deep Point-to-Subspace Metric Learning—0
ASL Recognition with Metric-Learning based Lightweight Network—0
Assessing two novel distance-based loss functions for few-shot image classification—0
A Supervised Low-Rank Method for Learning Invariant Subspaces—0
A Survey on Metric Learning for Feature Vectors and Structured Data—0
Asymmetric kernel in Gaussian Processes for learning target variance—0
Asymmetric Proxy Loss for Multi-View Acoustic Word Embeddings—0
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning—0
Attention-based Ensemble for Deep Metric Learning—0
Attention Control with Metric Learning Alignment for Image Set-based Recognition—0
Attention-Set based Metric Learning for Video Face Recognition—0
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges (with Appendices on Mathematical Background and Detailed Algorithms Explanation)—0
Audio-based Kinship Verification Using Age Domain Conversion—0
A Unified Collaborative Representation Learning for Neural-Network based Recommender Systems—0
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data—0
A Unified Representation Learning Strategy for Open Relation Extraction with Ranked List Loss—0
Automatic Identification of Samples in Hip-Hop Music via Multi-Loss Training and an Artificial Dataset—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