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 1051–1100 of 1648 papers

TitleStatusHype
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties—0
3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning—0
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation—0
3D Instance Segmentation via Multi-Task Metric Learning—0
3D Point Cloud Enhancement using Graph-Modelled Multiview Depth Measurements—0
3D Pose Estimation and 3D Model Retrieval for Objects in the Wild—0
A Benchmark on Tricks for Large-scale Image Retrieval—0
A Biology-Informed Similarity Metric for Simulated Patches of Human Cell Membrane—0
A Bottom-Up Approach to Class-Agnostic Image Segmentation—0
Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning—0
Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction—0
Action Quality Assessment using Siamese Network-Based Deep Metric Learning—0
Active Learning based on Data Uncertainty and Model Sensitivity—0
Active Learning of Ordinal Embeddings: A User Study on Football Data—0
Active metric learning and classification using similarity queries—0
Active Metric Learning for Supervised Classification—0
Active Metric Learning from Relative Comparisons—0
Adaptive additive classification-based loss for deep metric learning—0
Adaptive Affinity Matrix for Unsupervised Metric Learning—0
Adaptive Cross Batch Normalization for Metric Learning—0
Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection—0
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels—0
Adaptive Nearest Neighbor: A General Framework for Distance Metric Learning—0
Adaptive neighborhood Metric learning—0
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment—0
A Deep Metric Learning Method for Biomedical Passage Retrieval—0
A Deep Structure of Person Re-Identification using Multi-Level Gaussian Models—0
A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification—0
A Distance Metric Learning Model Based On Variational Information Bottleneck—0
A Distributed Approach towards Discriminative Distance Metric Learning—0
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples—0
Adversarial Deep Metric Learning—0
Adversarial Deep Metric Learning for Cross-Modal Audio-Text Alignment in Open-Vocabulary Keyword Spotting—0
Adversarial Metric Learning—0
Adversarial Reweighting for Speaker Verification Fairness—0
A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs—0
A Few-Shot Metric Learning Method with Dual-Channel Attention for Cross-Modal Same-Neuron Identification—0
Affinity guided Geometric Semi-Supervised Metric Learning—0
A Geometric take on Metric Learning—0
Malicious Requests Detection with Improved Bidirectional Long Short-term Memory Neural Networks—0
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning—0
Improved Aircraft Environmental Impact Segmentation via Metric Learning—0
A Kernel Classification Framework for Metric Learning—0
Algorithms for metric learning via contrastive embeddings—0
A Long-Tail Friendly Representation Framework for Artist and Music Similarity—0
A metric learning approach for endoscopic kidney stone identification—0
A Metric Learning Approach to Misogyny Categorization—0
A Metric-learning based framework for Support Vector Machines and Multiple Kernel Learning—0
A MIMO Radar-based Few-Shot Learning Approach for Human-ID—0
A MIMO Radar-Based Metric Learning Approach for Activity Recognition—0
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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