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 651700 of 1648 papers

TitleStatusHype
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and EmbeddingCode0
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling0
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation0
Improving Generalization of Metric Learning via Listwise Self-distillationCode0
Large-Margin Representation Learning for Texture Classification0
Neural Bregman Divergences for Distance Learning0
Towards Individual Grevy's Zebra Identification via Deep 3D Fitting and Metric LearningCode0
Learning Speaker-specific Lip-to-Speech Generation0
Guided Deep Metric Learning0
Towards Context-Aware Neural Performance-Score Synchronisation0
Contrasting quadratic assignments for set-based representation learningCode0
Persistent Weak Interferer Detection in WiFi Networks: A Deep Learning Based Approach0
Facing the Void: Overcoming Missing Data in Multi-View ImageryCode0
Detect Professional Malicious User with Metric Learning in Recommender Systems0
Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework0
A Unified Collaborative Representation Learning for Neural-Network based Recommender Systems0
Riemannian Metric Learning via Optimal Transport0
Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning0
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?Code0
Self-Taught Metric Learning without Labels0
Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract)0
Mixup-based Deep Metric Learning Approaches for Incomplete Supervision0
A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree0
On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning0
Label a Herd in Minutes: Individual Holstein-Friesian Cattle IdentificationCode0
Metric Learning and Adaptive Boundary for Out-of-Domain DetectionCode0
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues0
Interval Bound Interpolation for Few-shot Learning with Few TasksCode0
OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval SystemCode0
Improving Voice Trigger Detection with Metric Learning0
The Group Loss++: A deeper look into group loss for deep metric learning0
Target Confusion in End-to-end Speaker Extraction: Analysis and Approaches0
AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain ShiftCode0
Asymmetric Proxy Loss for Multi-View Acoustic Word Embeddings0
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages0
Compare learning: bi-attention network for few-shot learning0
On the Kullback-Leibler divergence between pairwise isotropic Gaussian-Markov random fields0
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning0
Was that so hard? Estimating human classification difficulty0
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback0
Online Deep Metric Learning via Mutual Distillation0
Cluster Head Detection for Hierarchical UAV Swarm With Graph Self-supervised Learning0
Continuous Self-Localization on Aerial Images Using Visual and Lidar Sensors0
Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the WildCode0
Robust Textual Embedding against Word-level Adversarial AttacksCode0
Learning Transferable Reward for Query Object Localization with Policy AdaptationCode0
Robust Geometric Metric LearningCode0
Deep Metric Learning-Based Semi-Supervised Regression With Alternate Learning0
Fast Eye Detector Using Siamese Network for NIR Partial Face Images0
Contrastive-mixup learning for improved speaker verification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@198.2Unverified
2Hyp-DINO 8x8R@192.8Unverified
3ResNet-50 + AVSLR@191.5Unverified
4NEDR@191.5Unverified
5ResNet-50 + Intra-Batch (ensemble of 5)R@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