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 12011250 of 1648 papers

TitleStatusHype
MES-Loss: Mutually equidistant separation metric learning loss function0
Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection0
Meta-learning representations for clustering with infinite Gaussian mixture models0
METCC: METric learning for Confounder Control Making distance matter in high dimensional biological analysis0
MetricDepth: Enhancing Monocular Depth Estimation with Deep Metric Learning0
metricDTW: local distance metric learning in Dynamic Time Warping0
Feature Representation in Deep Metric Embeddings0
Metric Imitation by Manifold Transfer for Efficient Vision Applications0
Metric learning approach for graph-based label propagation0
Metric Learning as a Service with Covariance Embedding0
Metric Learning as Convex Combinations of Local Models With Generalization Guarantees0
Metric-Learning-Assisted Domain Adaptation0
Metric Learning-based Generative Adversarial Network0
Metric Learning-Based Timing Synchronization by Using Lightweight Neural Network0
Metric learning by Similarity Network for Deep Semi-Supervised Learning0
Metric Learning Driven Multi-Task Structured Output Optimization for Robust Keypoint Tracking0
Metric Learning for 3D Point Clouds Using Optimal Transport0
Metric Learning for Anti-Compression Facial Forgery Detection0
Metric Learning for Graph-Based Domain Adaptation0
Metric Learning for Keyword Spotting0
Metric Learning for Phoneme Perception0
Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning0
Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues0
Metric Learning for Temporal Sequence Alignment0
Metric Learning for User-defined Keyword Spotting0
Metric Learning from Imbalanced Data0
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error0
Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification0
Metric Learning in Multilingual Sentence Similarity Measurement for Document Alignment0
Metric Learning on Manifolds0
Metric Learning on Temporal Graphs via Few-Shot Examples0
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming0
Metric Learning via Maximizing the Lipschitz Margin Ratio0
Metric Learning vs Classification for Disentangled Music Representation Learning0
Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events0
Metric Learning with Dynamically Generated Pairwise Constraints for Ear Recognition0
Metric Learning with Multiple Kernels0
Metric Learning with Progressive Self-Distillation for Audio-Visual Embedding Learning0
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning0
Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pre-training0
Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pretraining0
Mitosis Detection Under Limited Annotation: A Joint Learning Approach0
Category-Oriented Representation Learning for Image to Multi-Modal Retrieval0
Mixup-based Deep Metric Learning Approaches for Incomplete Supervision0
MLAS: Metric Learning on Attributed Sequences0
MLAT: Metric Learning for kNN in Streaming Time Series0
MM-FSOD: Meta and metric integrated few-shot object detection0
MN-Pair Contrastive Damage Representation and Clustering for Prognostic Explanation0
Modeling ESL Word Choice Similarities By Representing Word Intensions and Extensions0
Modeling Time Series Similarity with Siamese Recurrent Networks0
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Benchmark Results

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