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 751800 of 1648 papers

TitleStatusHype
Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection0
Supervised Metric Learning for Music Structure Features0
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data0
A MIMO Radar-based Few-Shot Learning Approach for Human-ID0
Exposing Query Identification for Search Transparency0
Deep Metric Learning with Locality Sensitive Angular Loss for Self-Correcting Source Separation of Neural Spiking Signals0
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin RadarCode0
Deep learning-based person re-identification methods: A survey and outlook of recent works0
Multi Proxy Anchor Family Loss for Several Types of Gradients0
DMML-Net: Deep Metametric Learning for Few-Shot Geographic Object Segmentation in Remote Sensing Imagery0
Reliable Probability Intervals For Classification Using Inductive Venn Predictors Based on Distance Learning0
Incremental Class Learning using Variational Autoencoders with Similarity Learning0
Two Regimes of Generalization for Non-Linear Metric Learning0
LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Cross-annotation Face AlignmentCode0
Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id0
A Biology-Informed Similarity Metric for Simulated Patches of Human Cell Membrane0
Metric Learning on Temporal Graphs via Few-Shot Examples0
From Graph Local Embedding to Deep Metric Learning0
Assessing two novel distance-based loss functions for few-shot image classification0
Understanding Metric Learning on Unit Hypersphere and Generating Better Examples for Adversarial Training0
ConVAEr: Convolutional Variational AutoEncodeRs for incremental similarity learning0
ASAP DML: Deep Metric Learning with Alternating Sets of Alternating Proxies0
Quantifying point cloud realism through adversarially learned latent representations0
GradML: A Gradient-based Loss for Deep Metric Learning0
Self-Supervised Metric Learning With Graph Clustering For Speaker DiarizationCode0
Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation0
Deep Metric Learning for Ground Images0
SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing Interpretation0
Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image ClassificationCode0
Metric Learning in Multilingual Sentence Similarity Measurement for Document Alignment0
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric LearningCode0
Task-Sensitive Concept Drift Detector with Constraint EmbeddingCode0
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI0
Continual Semi-Supervised Learning through Contrastive Interpolation ConsistencyCode0
Text Anchor Based Metric Learning for Small-footprint Keyword Spotting0
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering0
LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment0
Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional CategoriesCode0
A Unified Representation Learning Strategy for Open Relation Extraction with Ranked List Loss0
Bridging Gap between Image Pixels and Semantics via Supervision: A Survey0
Multi-Scale Feature and Metric Learning for Relation Extraction0
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time ModelsCode0
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling0
Hierarchical Latent Relation Modeling for Collaborative Metric LearningCode0
Ranking labs-of-origin for genetically engineered DNA using Metric Learning0
Few-shot Learning with Global Relatedness Decoupled-Distillation0
Deep Metric Learning Model for Imbalanced Fault Diagnosis0
Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learning0
Hierarchical Semantic Segmentation using Psychometric Learning0
Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa0
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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