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 351400 of 1648 papers

TitleStatusHype
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin RadarCode0
Large Scale Open-Set Deep Logo DetectionCode0
Latent Similarity Identifies Important Functional Connections for Phenotype PredictionCode0
Linear Dimensionality Reduction: Survey, Insights, and GeneralizationsCode0
Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional CategoriesCode0
NAPReg: Nouns As Proxies Regularization for Semantically Aware Cross-Modal EmbeddingsCode0
Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural NetworksCode0
Deep Metric Transfer for Label Propagation with Limited Annotated DataCode0
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and EmbeddingCode0
Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the WildCode0
Interval Bound Interpolation for Few-shot Learning with Few TasksCode0
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL PoliciesCode0
Integrating Deep Metric Learning with Coreset for Active Learning in 3D SegmentationCode0
In Defense of the Classification Loss for Person Re-IdentificationCode0
In Defense of the Triplet Loss for Person Re-IdentificationCode0
Deep Metric Learning with Chance ConstraintsCode0
Deep Metric Learning with BIER: Boosting Independent Embeddings RobustlyCode0
Biconvex Relaxation for Semidefinite Programming in Computer VisionCode0
Deep Metric Learning with Angular LossCode0
Incorporating the Rhetoric of Scientific Language into Sentence Embeddings using Phrase-guided Distant Supervision and Metric LearningCode0
Improved Diversity-Promoting Collaborative Metric Learning for RecommendationCode0
Deep Metric Learning via Lifted Structured Feature EmbeddingCode0
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for ImagesCode0
Inspecting class hierarchies in classification-based metric learning modelsCode0
Improved Embeddings with Easy Positive Triplet MiningCode0
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal LiftingCode0
Deep Metric Learning via Facility LocationCode0
Improved Deep Metric Learning with Multi-class N-pair Loss ObjectiveCode0
Improving Collaborative Metric Learning with Efficient Negative SamplingCode0
Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine SimilarityCode0
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image SegmentationCode0
Deep Metric Learning to RankCode0
AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain ShiftCode0
IDEAL: Independent Domain Embedding Augmentation LearningCode0
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right FeatureCode0
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature EmbeddingCode0
HSE: Hybrid Species Embedding for Deep Metric LearningCode0
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human SupervisionCode0
Human Motion Analysis with Deep Metric LearningCode0
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram SignalsCode0
How Shift Equivariance Impacts Metric Learning for Instance SegmentationCode0
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog ModelCode0
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label OntologyCode0
Learning a metric for class-conditional KNNCode0
Hierarchical Latent Relation Modeling for Collaborative Metric LearningCode0
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric LearningCode0
Improving Generalization of Metric Learning via Listwise Self-distillationCode0
Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified SamplingCode0
Hard-Aware Point-to-Set Deep Metric for Person Re-identificationCode0
Hard-Aware Deeply Cascaded EmbeddingCode0
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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