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 451500 of 1648 papers

TitleStatusHype
And what if two musical versions don't share melody, harmony, rhythm, or lyrics ?0
Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation0
Deep Metric Learning with Soft Orthogonal Proxies0
A Broad Dataset is All You Need for One-Shot Object Detection0
Deep Metric Learning with Locality Sensitive Angular Loss for Self-Correcting Source Separation of Neural Spiking Signals0
Domain Generalization via Optimal Transport with Metric Similarity Learning0
BIER - Boosting Independent Embeddings Robustly0
Domain Private and Agnostic Feature for Modality Adaptive Face Recognition0
Do not trust the neighbors! Adversarial Metric Learning for Self-Supervised Scene Flow Estimation0
Deep Metric Learning with Hierarchical Triplet Loss0
DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction0
A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery0
Collaborative Metric Learning Recommendation System: Application to Theatrical Movie Releases0
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition0
Deep Metric Learning with Density Adaptivity0
Anchor-aware Deep Metric Learning for Audio-visual Retrieval0
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting0
Dynamic Contrastive Distillation for Image-Text Retrieval0
Dynamic Curriculum Learning for Imbalanced Data Classification0
Dynamic Metric Learning from Pairwise Comparisons0
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties0
Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes0
Deep Metric Learning with Alternating Projections onto Feasible Sets0
Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints0
An Automated Vulnerability Detection Framework for Smart Contracts0
Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD)0
Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification0
Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning0
Few-Shot Learning for Industrial Time Series: A Comparative Analysis Using the Example of Screw-Fastening Process Monitoring0
Few-Shot Learning for Road Object Detection0
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization0
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data0
Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification0
Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification0
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification0
AdaMS: Deep Metric Learning with Adaptive Margin and Adaptive Scale for Acoustic Word Discrimination0
Beyond the Deep Metric Learning: Enhance the Cross-Modal Matching with Adversarial Discriminative Domain Regularization0
Beyond Mahalanobis Metric: Cayley-Klein Metric Learning0
EmbNum: Semantic labeling for numerical values with deep metric learning0
ConceptBeam: Concept Driven Target Speech Extraction0
Deep Metric Learning via Adaptive Learnable Assessment0
A Music Classification Model based on Metric Learning and Feature Extraction from MP3 Audio Files0
End-to-End Data Visualization by Metric Learning and Coordinate Transformation0
End-to-End Illuminant Estimation Based on Deep Metric Learning0
Deep Metric Learning using Similarities from Nonlinear Rank Approximations0
End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification0
Beyond Context: Exploring Semantic Similarity for Tiny Face Detection0
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering0
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis0
Deep Metric Learning Network using Proxies for Chromosome Classification in Karyotyping Test0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@198.2Unverified
2Hyp-DINO 8x8R@192.8Unverified
3NEDR@191.5Unverified
4ResNet-50 + Intra-Batch (ensemble of 5)R@191.5Unverified
5ResNet-50 + AVSLR@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