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 1451–1500 of 1648 papers

TitleStatusHype
Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification—0
Grid-Reg: Grid-Based SAR and Optical Image Registration Across Platforms—0
Guaranteed Classification via Regularized Similarity Learning—0
Guided Deep Metric Learning—0
Hamming Distance Metric Learning—0
Hard Negative Mining for Metric Learning Based Zero-Shot Classification—0
Hashing and metric learning for charged particle tracking—0
Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval—0
Heterogeneous Multi-task Metric Learning across Multiple Domains—0
Hierarchical Annotation of Images with Two-Alternative-Forced-Choice Metric Learning—0
Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification—0
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences—0
Hierarchical Metric Learning for Optical Remote Sensing Scene Categorization—0
Hierarchical Multimodal Metric Learning for Multimodal Classification—0
Hierarchical Proxy-based Loss for Deep Metric Learning—0
Hierarchical Relationship Alignment Metric Learning—0
Hierarchical Semantic Segmentation using Psychometric Learning—0
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization—0
Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search—0
Hotel Recognition via Latent Image Embedding—0
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study—0
HSADML: Hyper-Sphere Angular Deep Metric based Learning for Brain Tumor Classification—0
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval—0
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning—0
Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id—0
Hybrid Multi-stage Decoding for Few-shot NER with Entity-aware Contrastive Learning—0
Hyperbolic Metric Learning for Visual Outlier Detection—0
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems—0
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field—0
Hyperspherical embedding for novel class classification—0
Hyp-UML: Hyperbolic Image Retrieval with Uncertainty-aware Metric Learning—0
Identity-Aware Semi-Supervised Learning for Comic Character Re-Identification—0
iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection—0
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition—0
Image Patch-Matching with Graph-Based Learning in Street Scenes—0
Image Retrieval Methods in the Dissimilarity Space—0
Image-Text Pre-Training for Logo Recognition—0
Semantic Data Augmentation based Distance Metric Learning for Domain Generalization—0
Improved Deep Metric Learning with Multi-class N-pair Loss Objective—0
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation—0
Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity—0
Improved Strongly Adaptive Online Learning using Coin Betting—0
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning—0
Improving Calibration in Deep Metric Learning With Cross-Example Softmax—0
Improving CNN-based Person Re-identification using score Normalization—0
Improving Deep Metric Learning with Virtual Classes and Examples Mining—0
Improving Few-shot Learning with Weakly-supervised Object Localization—0
Improving Image co-segmentation via Deep Metric Learning—0
Deep Similarity Metric Learning for Real-Time Pedestrian Tracking—0
Improving Performance of Self-Organising Maps with Distance Metric Learning Method—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