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 16011648 of 1648 papers

TitleStatusHype
Modeling Uncertainty with Hedged Instance EmbeddingCode0
Simple Stochastic and Online Gradient DescentAlgorithms for Pairwise LearningCode0
Understanding Hyperbolic Metric Learning through Hard Negative SamplingCode0
Exploring Temporal Concurrency for Video-Language Representation LearningCode0
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction RepresentationsCode0
Deep Metric Learning to RankCode0
Moving in the Right Direction: A Regularization for Deep Metric LearningCode0
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature EmbeddingCode0
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram SignalsCode0
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and EvaluationCode0
Multi-Attention Multi-Class Constraint for Fine-grained Image RecognitionCode0
Regression-Based Elastic Metric Learning on Shape Spaces of Elastic CurvesCode0
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation ModelsCode0
Single Camera Training for Person Re-identificationCode0
Multi-Fidelity Covariance Estimation in the Log-Euclidean GeometryCode0
Correlation Congruence for Knowledge DistillationCode0
Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot FillingCode0
Relational Knowledge DistillationCode0
Multi-Level Correlation Network For Few-Shot Image ClassificationCode0
Uncertainty Estimation for 3D Dense Prediction via Cross-Point EmbeddingsCode0
Multi-level Metric Learning for Few-shot Image RecognitionCode0
Correcting the Triplet Selection Bias for Triplet LossCode0
Towards Food Image Retrieval via Generalization-oriented Sampling and Loss Function DesignCode0
Towards Improved and Interpretable Deep Metric Learning via Attentive GroupingCode0
Contrastive Instance Association for 4D Panoptic Segmentation using Sequences of 3D LiDAR ScansCode0
Contrasting quadratic assignments for set-based representation learningCode0
Exploring Adversarial Robustness of Deep Metric LearningCode0
Renderers are Good Zero-Shot Representation Learners: Exploring Diffusion Latents for Metric LearningCode0
RepMet: Representative-based metric learning for classification and one-shot object detectionCode0
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object DetectionCode0
Deep Metric Learning Beyond Binary SupervisionCode0
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain AdaptationCode0
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image ClassificationCode0
Context-Aware Visual Compatibility PredictionCode0
Content-Based Landmark Retrieval Combining Global and Local Features using Siamese Neural NetworksCode0
Towards Individual Grevy's Zebra Identification via Deep 3D Fitting and Metric LearningCode0
Associative Alignment for Few-shot Image ClassificationCode0
Sparse Bayesian approach for metric learning in latent spaceCode0
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human SupervisionCode0
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic SegmentationCode0
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization BoundsCode0
Deep Meta Metric LearningCode0
Rethinking Feature Discrimination and Polymerization for Large-scale RecognitionCode0
A Simple and Effective Framework for Pairwise Deep Metric LearningCode0
Rethinking Interactive Image Segmentation: Feature Space AnnotationCode0
Deep Hashing via Householder QuantizationCode0
Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the WildCode0
RelationNet2: Deep Comparison Columns for Few-Shot LearningCode0
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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