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

Showing 15011550 of 1648 papers

TitleStatusHype
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data ManifoldsCode0
Geometric Mean Metric LearningCode0
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-IdentificationCode0
Batch DropBlock Network for Person Re-identification and BeyondCode0
MatchNet: Unifying Feature and Metric Learning for Patch-Based MatchingCode0
Batch Decorrelation for Active Metric LearningCode0
Text2Shape: Generating Shapes from Natural Language by Learning Joint EmbeddingsCode0
PP-ShiTu: A Practical Lightweight Image Recognition SystemCode0
Generative Dual Adversarial Network for Generalized Zero-shot LearningCode0
A Metric Learning Approach to Anomaly Detection in Video GamesCode0
Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identificationCode0
A Unified Framework for Domain Adaptation using Metric Learning on ManifoldsCode0
Atlas Based Representation and Metric Learning on ManifoldsCode0
Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised LearningCode0
Melon Playlist Dataset: a public dataset for audio-based playlist generation and music taggingCode0
SeqNet: Sequential Networks for One-Shot Traffic Sign Recognition With Transfer LearningCode0
A New Similarity Space Tailored for Supervised Deep Metric LearningCode0
Generalized Sum Pooling for Metric LearningCode0
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layersCode0
Merging datasets through deep learningCode0
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit RecommendationCode0
Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?Code0
Probabilistic Deep Metric Learning for Hyperspectral Image ClassificationCode0
Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional CategoriesCode0
Distance Metric Learning for Graph Structured DataCode0
Sequential Skip Prediction with Few-shot in Streamed Music ContentsCode0
Generalization Bound of Gradient Descent for Non-Convex Metric LearningCode0
Continual Semi-Supervised Learning through Contrastive Interpolation ConsistencyCode0
Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric LearningCode0
Weakly-Supervised Metric Learning With Cross-Module Communications for the Classification of Anterior Chamber Angle ImagesCode0
Dissecting Deep Metric Learning Losses for Image-Text RetrievalCode0
Disentangling by Subspace DiffusionCode0
Metric Learning and Adaptive Boundary for Out-of-Domain DetectionCode0
Unsupervised Metric Learning in Presence of Missing DataCode0
Project and Forget: Solving Large-Scale Metric Constrained ProblemsCode0
SGML: A Symmetric Graph Metric Learning Framework for Efficient Hyperspectral Image ClassificationCode0
Discrete Scale-invariant Metric Learning for Efficient Collaborative FilteringCode0
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese NetworksCode0
Video Face Clustering with Unknown Number of ClustersCode0
Finding Task-Relevant Features for Few-Shot Learning by Category TraversalCode0
Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness EvaluationCode0
Variational Prototype Replays for Continual LearningCode0
Few-Shot Specific Emitter Identification via Hybrid Data Augmentation and Deep Metric LearningCode0
The Group Loss for Deep Metric LearningCode0
Metric-Learning Encoding Models Identify Processing Profiles of Linguistic Features in BERT's RepresentationsCode0
Few-shot classification in Named Entity Recognition TaskCode0
Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational ReasoningCode0
Metric Learning for Adversarial RobustnessCode0
Disambiguating Music Artists at Scale with Audio Metric LearningCode0
Metric Learning for Clifford Group Equivariant Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@198.2Unverified
2Hyp-DINO 8x8R@192.8Unverified
3ResNet-50 + AVSLR@191.5Unverified
4NEDR@191.5Unverified
5ResNet-50 + Intra-Batch (ensemble of 5)R@191.5Unverified
6EfficientDML-VPTSP-G/512R@191.2Unverified
7CCL (ResNet-50)R@191.02Unverified
8ResNet50 + LanguageR@190.2Unverified
9ResNet-50 + MetrixR@189.6Unverified
10ResNet50 + S2SDR@189.5Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@191.2Unverified
2STIRR@188.3Unverified
3Recall@k Surrogate Loss (ViT-B/16)R@188Unverified
4ViT-TripletR@186.5Unverified
5ROADMAP (DeiT-S)R@186Unverified
6Hyp-ViTR@185.9Unverified
7Hyp-DINOR@185.1Unverified
8Recall@k Surrogate Loss (ViT-B/32)R@185.1Unverified
9CCL (ResNet-50)R@183.1Unverified
10ROADMAP (ResNet-50)R@183.1Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@190.1Unverified
2EfficientDML-VPTSP-G/512R@188.5Unverified
3Hyp-ViTR@185.6Unverified
4Hyp-DINOR@180.9Unverified
5NEDR@174.9Unverified
6CCL (ResNet-50)R@173.45Unverified
7ResNet-50 + AVSLR@171.9Unverified
8ResNet-50 + Intra-Batch ConnectionsR@171.8Unverified
9ResNet50 + LanguageR@171.4Unverified
10ResNet-50 + MetrixR@171.4Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@196.7Unverified
2STIRR@195Unverified
3MGAR@194.3Unverified
4Hyp-ViTR@192.5Unverified
5Hyp-DINOR@192.4Unverified
6CCL (ResNet-50)R@192.31Unverified
7Gradient SurgeryR@192.21Unverified
8ResNet-50 + MetrixR@192.2Unverified
9EfficientDML-VPTSP-G/512R@192.1Unverified
10ViT-TripletR@192.1Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP43.8Unverified
2CSLAverage-mAP31Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP38Unverified
2CSLAverage-mAP28.7Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP37Unverified
2CSLAverage-mAP12.1Unverified