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 451500 of 1648 papers

TitleStatusHype
Deep Hashing via Householder QuantizationCode0
Do Lessons from Metric Learning Generalize to Image-Caption Retrieval?Code0
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for ImagesCode0
Domain-aware Triplet loss in Domain GeneralizationCode0
In Defense of the Classification Loss for Person Re-IdentificationCode0
A Lower Bound of Hash Codes' PerformanceCode0
In Defense of the Triplet Loss for Person Re-IdentificationCode0
Inspecting class hierarchies in classification-based metric learning modelsCode0
Improving Generalization of Metric Learning via Listwise Self-distillationCode0
Improved Embeddings with Easy Positive Triplet MiningCode0
Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot FillingCode0
Dual Metric Learning for Effective and Efficient Cross-Domain RecommendationsCode0
Improving Collaborative Metric Learning with Efficient Negative SamplingCode0
Incorporating the Rhetoric of Scientific Language into Sentence Embeddings using Phrase-guided Distant Supervision and Metric LearningCode0
DUCK: Distance-based Unlearning via Centroid KinematicsCode0
Integrating Deep Metric Learning with Coreset for Active Learning in 3D SegmentationCode0
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image SegmentationCode0
RelationNet2: Deep Comparison Columns for Few-Shot LearningCode0
Collaborative Residual Metric LearningCode0
DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric SpaceCode0
IDEAL: Independent Domain Embedding Augmentation LearningCode0
Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise LossCode0
Linear and Quadratic Discriminant Analysis: TutorialCode0
ECML: An Ensemble Cascade Metric Learning Mechanism towards Face VerificationCode0
A Unified Framework for Domain Adaptation using Metric Learning on ManifoldsCode0
Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine SimilarityCode0
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right FeatureCode0
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric LearningCode0
Hierarchical Latent Relation Modeling for Collaborative Metric LearningCode0
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label OntologyCode0
Heated-Up Softmax EmbeddingCode0
Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person SearchCode0
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity LearningCode0
Hardness-Aware Deep Metric LearningCode0
How Shift Equivariance Impacts Metric Learning for Instance SegmentationCode0
MGNN: Graph Neural Networks Inspired by Distance Geometry ProblemCode0
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric LearningCode0
Hard-Aware Deeply Cascaded EmbeddingCode0
Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General RelativityCode0
Dark Side Augmentation: Generating Diverse Night Examples for Metric LearningCode0
Deep Anomaly Detection for Generalized Face Anti-SpoofingCode0
Ground Metric Learning on GraphsCode0
Robust Concept Erasure via Kernelized Rate-Distortion MaximizationCode0
Robust Geometric Metric LearningCode0
Hard-Aware Point-to-Set Deep Metric for Person Re-identificationCode0
HSE: Hybrid Species Embedding for Deep Metric LearningCode0
Dam reservoir extraction from remote sensing imagery using tailored metric learning strategiesCode0
DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep Metric LearningCode0
CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-LocalizationCode0
Curvilinear Distance Metric 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