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 13511400 of 1648 papers

TitleStatusHype
Scalable Angular Discriminative Deep Metric Learning for Face Recognition0
A Unified Framework for Domain Adaptation using Metric Learning on ManifoldsCode0
On deep speaker embeddings for text-independent speaker recognition0
Online convex optimization and no-regret learning: Algorithms, guarantees and applications0
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning0
Large Scale Local Online Similarity/Distance Learning Framework based on Passive/Aggressive0
Attention-based Ensemble for Deep Metric Learning0
3D Pose Estimation and 3D Model Retrieval for Objects in the Wild0
Mining on Manifolds: Metric Learning without LabelsCode0
Active Metric Learning for Supervised Classification0
Person re-identification with fusion of hand-crafted and deep pose-based body region features0
Metric Learning with Dynamically Generated Pairwise Constraints for Ear Recognition0
Text2Shape: Generating Shapes from Natural Language by Learning Joint EmbeddingsCode0
Multi-view Metric Learning in Vector-valued Kernel Spaces0
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences0
Asymmetric kernel in Gaussian Processes for learning target variance0
Triplet-Center Loss for Multi-View 3D Object RetrievalCode0
Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise LossCode0
Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?Code0
Exponential Discriminative Metric Embedding in Deep Learning0
Beyond Context: Exploring Semantic Similarity for Tiny Face Detection0
Local Distance Metric Learning for Nearest Neighbor Algorithm0
Collaborative Metric Learning Recommendation System: Application to Theatrical Movie Releases0
Directional Statistics-based Deep Metric Learning for Image Classification and RetrievalCode1
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning0
End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching0
VBALD - Variational Bayesian Approximation of Log Determinants0
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis0
TVAE: Triplet-Based Variational Autoencoder using Metric LearningCode1
Few-Shot Learning with Metric-Agnostic Conditional Embeddings0
Safe Triplet Screening for Distance Metric LearningCode0
Learning Local Metrics and Influential Regions for Classification0
Adversarial Metric Learning0
Metric Learning via Maximizing the Lipschitz Margin Ratio0
Additive Margin Softmax for Face VerificationCode1
Deep Metric Learning with BIER: Boosting Independent Embeddings RobustlyCode0
Adaptive Graph Convolutional Neural NetworksCode0
Threshold Auto-Tuning Metric Learning0
LEAP: Learning Embeddings for Adaptive Pace0
Make SVM great again with Siamese kernel for few-shot learningCode0
Parametric Manifold Learning Via Sparse Multidimensional Scaling0
UNSUPERVISED METRIC LEARNING VIA NONLINEAR FEATURE SPACE TRANSFORMATIONS0
Nearest Neighbour Radial Basis Function Solvers for Deep Neural Networks0
Significance of Softmax-based Features in Comparison to Distance Metric Learning-based Features0
Kernel Regression with Sparse Metric Learning0
Deep metric learning for multi-labelled radiographs0
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep LearningCode0
Generative Local Metric Learning for Kernel Regression0
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks0
Label Efficient Learning of Transferable Representations across Domains and Tasks0
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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