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 701750 of 1648 papers

TitleStatusHype
Subspace Representation Learning for Few-shot Image Classification0
VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and Exact Solution0
Eye Know You: Metric Learning for End-to-end Biometric Authentication Using Eye Movements from a Longitudinal Dataset0
Deep Transform and Metric Learning Networks0
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes0
Dual Metric Learning for Effective and Efficient Cross-Domain RecommendationsCode0
Sparse online relative similarity learning0
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature AlignmentCode1
Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving0
MinkLoc++: Lidar and Monocular Image Fusion for Place RecognitionCode1
New Insights on Reducing Abrupt Representation Change in Online Continual LearningCode1
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification0
Towards Self-Adaptive Metric Learning On the Fly0
Sub-GMN: The Neural Subgraph Matching Network Model0
Learning with Memory-based Virtual Classes for Deep Metric LearningCode1
Noise-resistant Deep Metric Learning with Ranking-based Instance SelectionCode1
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric LearningCode1
Hierarchical Relationship Alignment Metric Learning0
Attention to Warp: Deep Metric Learning for Multivariate Time SeriesCode1
Embedding Transfer with Label Relaxation for Improved Metric LearningCode1
Multi-Facet Recommender Networks with Spherical OptimizationCode1
Hierarchical Proxy-based Loss for Deep Metric Learning0
Rethinking Deep Contrastive Learning with Embedding Memory0
Toward Tweet Entity Linking with Heterogeneous Information NetworksCode0
Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic ScalesCode1
Multi-level Metric Learning for Few-shot Image RecognitionCode0
Improving Image co-segmentation via Deep Metric Learning0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network0
Structure Inducing Pre-TrainingCode1
Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition0
Back to the Feature: Learning Robust Camera Localization from Pixels to PoseCode1
Metric Learning for Anti-Compression Facial Forgery Detection0
Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised LearningCode0
Distance Metric-Based Learning with Interpolated Latent Features for Location Classification in Endoscopy Image and Video0
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains0
Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle TrackingCode1
Cross-modal Image Retrieval with Deep Mutual Information Maximization0
Knowledge Evolution in Neural NetworksCode1
Fully Convolutional Geometric Features for Category-level Object Alignment0
Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature DictionaryCode1
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot LearningCode1
Meta-learning representations for clustering with infinite Gaussian mixture models0
Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different ResolutionsCode1
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives0
Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person SearchCode0
Fuzzy clustering algorithms with distance metric learning and entropy regularization0
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining0
A Unified Batch Selection Policy for Active Metric Learning0
Learning Intra-Batch Connections for Deep Metric LearningCode1
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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