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

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Showing 701–750 of 1648 papers

TitleStatusHype
Distance Metric Learning for Aspect Phrase Grouping—0
Distance metric learning based on structural neighborhoods for dimensionality reduction and classification performance improvement—0
Channel Interaction Networks for Fine-Grained Image Categorization—0
Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning—0
Dissecting the impact of different loss functions with gradient surgery—0
Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval—0
Challenge report: Recognizing Families In the Wild Data Challenge—0
Disentanglement for Discriminative Visual Recognition—0
Disentangled representation learning for multilingual speaker recognition—0
Centroid-based deep metric learning for speaker recognition—0
Annotation Cost Efficient Active Learning for Content Based Image Retrieval—0
A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification—0
Disentangled Multidimensional Metric Learning for Music Similarity—0
Center Contrastive Loss for Metric Learning—0
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI—0
Discriminative Representation Loss (DRL): A More Efficient Approach than Gradient Re-Projection in Continual Learning—0
CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery—0
Discriminative Metric Learning with Deep Forest—0
Discriminative Metric Learning by Neighborhood Gerrymandering—0
Discriminative Learning of Similarity and Group Equivariant Representations—0
Discriminative Deep Metric Learning for Face Verification in the Wild—0
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness—0
Catching Image Retrieval Generalization—0
A Deep Structure of Person Re-Identification using Multi-Level Gaussian Models—0
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation—0
Discrete InfoMax Codes for Meta-Learning—0
Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learning—0
Discrete Infomax Codes for Supervised Representation Learning—0
EnvId: A Metric Learning Approach for Forensic Few-Shot Identification of Unseen Environments—0
Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks—0
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation—0
Can an unsupervised clustering algorithm reproduce a categorization system?—0
Dimension Free Generalization Bounds for Non Linear Metric Learning—0
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning—0
Angular triangle distance for ordinal metric learning—0
Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates—0
DIABLO: Dictionary-based Attention Block for Deep Metric Learning—0
Calibrated neighborhood aware confidence measure for deep metric learning—0
Detect Professional Malicious User with Metric Learning in Recommender Systems—0
Detection of Peculiar Word Sense by Distance Metric Learning with Labeled Examples—0
CAFENet: Class-Agnostic Few-Shot Edge Detection Network—0
Detecting Deep-Fake Videos from Appearance and Behavior—0
Designovel's system description for Fashion-IQ challenge 2019—0
Designing an Effective Metric Learning Pipeline for Speaker Diarization—0
Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework—0
A new dataset of dog breed images and a benchmark for fine-grained classification—0
A Deep Metric Learning Method for Biomedical Passage Retrieval—0
Depth-discriminative Metric Learning for Monocular 3D Object Detection—0
DeepVisage: Making face recognition simple yet with powerful generalization skills—0
Deep Variational 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