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 351400 of 1648 papers

TitleStatusHype
Revisiting Distance Metric Learning for Few-Shot Natural Language Classification0
Angular triangle distance for ordinal metric learning0
Metric Learning as a Service with Covariance Embedding0
Distance Metric Learning Loss Functions in Few-Shot Scenarios of Supervised Language Models Fine-Tuning0
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments0
Evaluation of the impact of the indiscernibility relation on the fuzzy-rough nearest neighbours algorithm0
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for ImagesCode0
A Novel Center-based Deep Contrastive Metric Learning Method for the Detection of Polymicrogyria in Pediatric Brain MRICode0
Multimorbidity Content-Based Medical Image Retrieval Using Proxies0
Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance0
Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach0
Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning0
Informative Sample-Aware Proxy for Deep Metric Learning0
Targeted Attention for Generalized- and Zero-Shot Learning0
Probabilistic Deep Metric Learning for Hyperspectral Image ClassificationCode0
Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metric LearningCode0
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval0
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-MindCode0
Variational Quantum Kernels with Task-Specific Quantum Metric Learning0
Prompt-Based Metric Learning for Few-Shot NERCode1
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning0
Metric Learning for User-defined Keyword Spotting0
On Medians of (Randomized) Pairwise Means0
Disentangled representation learning for multilingual speaker recognition0
Zero Day Threat Detection Using Metric Learning Autoencoders0
Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General RelativityCode0
A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationshipsCode0
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image SegmentationCode0
AdaMS: Deep Metric Learning with Adaptive Margin and Adaptive Scale for Acoustic Word Discrimination0
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous ActionsCode0
Towards Comprehensive Representation Enhancement in Semantics-guided Self-supervised Monocular Depth Estimation0
Dissecting Deep Metric Learning Losses for Image-Text RetrievalCode0
Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem0
GSV-Cities: Toward Appropriate Supervised Visual Place RecognitionCode1
Learning Universe Model for Partial Matching Networks over Multiple Graphs0
A Hybrid System of Sound Event Detection Transformer and Frame-wise Model for DCASE 2022 Task 4Code1
Fine-tune your Classifier: Finding Correlations With Temperature0
No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective0
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layersCode0
A Lower Bound of Hash Codes' PerformanceCode0
Match Cutting: Finding Cuts with Smooth Visual TransitionsCode1
Large-to-small Image Resolution Asymmetry in Deep Metric LearningCode1
Contrastive Bayesian Analysis for Deep Metric LearningCode1
Coded Residual Transform for Generalizable Deep Metric Learning0
Learning to embed semantic similarity for joint image-text retrieval0
Matching Text and Audio Embeddings: Exploring Transfer-learning Strategies for Language-based Audio Retrieval0
Fully Unsupervised Training of Few-shot Keyword Spotting0
Regression-Based Elastic Metric Learning on Shape Spaces of Elastic CurvesCode0
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity OptimizationCode1
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-IdentificationCode0
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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