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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 1648 papers

TitleStatusHype
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition—0
Realigned Softmax Warping for Deep Metric Learning—0
Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning—0
CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition—0
Can an unsupervised clustering algorithm reproduce a categorization system?—0
Visual Neural Decoding via Improved Visual-EEG Semantic Consistency—0
Open Set Recognition for Random Forest—0
Categorical Knowledge Fused Recognition: Fusing Hierarchical Knowledge with Image Classification through Aligning and Deep Metric Learning—0
Keypoint Promptable Re-IdentificationCode3
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking—0
Metric Learning for Clifford Group Equivariant Neural NetworksCode0
Time-Frequency Analysis of Variable-Length WiFi CSI Signals for Person Re-Identification—0
Learning Distances from Data with Normalizing Flows and Score Matching—0
Explainable Metric Learning for Deflating Data Bias—0
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate MetricCode0
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object DetectionCode1
Multi-threshold Deep Metric Learning for Facial Expression Recognition—0
Enhancing OOD Detection Using Latent DiffusionCode0
What Makes Two Language Models Think Alike?—0
Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval—0
Relational Proxy Loss for Audio-Text based Keyword Spotting—0
Semantic-Enhanced Relational Metric Learning for Recommender Systems—0
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and EvaluationCode0
Operational Latent SpacesCode0
Know Your Neighborhood: General and Zero-Shot Capable Binary Function Search Powered by Call GraphletsCode0
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL PoliciesCode0
Potential Field Based Deep Metric Learning—0
Robust Hyperbolic Learning with Curvature-Aware Optimization—0
Enhancing Understanding Through Wildlife Re-Identification—0
Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption—0
AniTalker: Animate Vivid and Diverse Talking Faces through Identity-Decoupled Facial Motion EncodingCode5
EnvId: A Metric Learning Approach for Forensic Few-Shot Identification of Unseen Environments—0
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure—0
Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval—0
Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search—0
Understanding Hyperbolic Metric Learning through Hard Negative SamplingCode0
Anchor-aware Deep Metric Learning for Audio-visual Retrieval—0
Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation—0
GCC: Generative Calibration Clustering—0
Single-image driven 3d viewpoint training data augmentation for effective wine label recognition—0
Hybrid Multi-stage Decoding for Few-shot NER with Entity-aware Contrastive Learning—0
Spatially Optimized Compact Deep Metric Learning Model for Similarity Search—0
FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric Learning—0
CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery—0
COMPILED: Deep Metric Learning for Defect Classification of Threaded Pipe Connections using Multichannel Partially Observed Functional Data—0
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric ProgrammingCode0
Metric Learning from Limited Pairwise Preference ComparisonsCode0
Few-Shot Bearing Fault Diagnosis Via Ensembling Transformer-Based Model With Mahalanobis Distance Metric Learning From Multiscale FeaturesCode2
Hyperbolic Metric Learning for Visual Outlier Detection—0
Piecewise-Linear Manifolds for Deep Metric Learning—0
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All datasetsCARS196Stanford Online ProductsCUB-200-2011In-ShopDyML-AnimalDyML-ProductDyML-Vehicle

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@198.2—Unverified
2Hyp-DINO 8x8R@192.8—Unverified
3ResNet-50 + AVSLR@191.5—Unverified
4NEDR@191.5—Unverified
5ResNet-50 + Intra-Batch (ensemble of 5)R@191.5—Unverified
6EfficientDML-VPTSP-G/512R@191.2—Unverified
7CCL (ResNet-50)R@191.02—Unverified
8ResNet50 + LanguageR@190.2—Unverified
9ResNet-50 + MetrixR@189.6—Unverified
10ResNet50 + S2SDR@189.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@191.2—Unverified
2STIRR@188.3—Unverified
3Recall@k Surrogate Loss (ViT-B/16)R@188—Unverified
4ViT-TripletR@186.5—Unverified
5ROADMAP (DeiT-S)R@186—Unverified
6Hyp-ViTR@185.9—Unverified
7Hyp-DINOR@185.1—Unverified
8Recall@k Surrogate Loss (ViT-B/32)R@185.1—Unverified
9CCL (ResNet-50)R@183.1—Unverified
10ROADMAP (ResNet-50)R@183.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@190.1—Unverified
2EfficientDML-VPTSP-G/512R@188.5—Unverified
3Hyp-ViTR@185.6—Unverified
4Hyp-DINOR@180.9—Unverified
5NEDR@174.9—Unverified
6CCL (ResNet-50)R@173.45—Unverified
7ResNet-50 + AVSLR@171.9—Unverified
8ResNet-50 + Intra-Batch ConnectionsR@171.8—Unverified
9ResNet50 + LanguageR@171.4—Unverified
10ResNet-50 + MetrixR@171.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@196.7—Unverified
2STIRR@195—Unverified
3MGAR@194.3—Unverified
4Hyp-ViTR@192.5—Unverified
5Hyp-DINOR@192.4—Unverified
6CCL (ResNet-50)R@192.31—Unverified
7Gradient SurgeryR@192.21—Unverified
8ResNet-50 + MetrixR@192.2—Unverified
9EfficientDML-VPTSP-G/512R@192.1—Unverified
10ViT-TripletR@192.1—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP43.8—Unverified
2CSLAverage-mAP31—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP38—Unverified
2CSLAverage-mAP28.7—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP37—Unverified
2CSLAverage-mAP12.1—Unverified