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 301350 of 1648 papers

TitleStatusHype
Learning Human-Compatible Representations for Case-Based Decision SupportCode0
Learning Neural Models for End-to-End ClusteringCode0
Collaborative Metric LearningCode0
LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Cross-annotation Face AlignmentCode0
Learning a metric for class-conditional KNNCode0
Latent Similarity Identifies Important Functional Connections for Phenotype PredictionCode0
A Novel Center-based Deep Contrastive Metric Learning Method for the Detection of Polymicrogyria in Pediatric Brain MRICode0
Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and RetrievalCode0
A Continual Development Methodology for Large-scale Multitask Dynamic ML SystemsCode0
Latent Relational Metric Learning via Memory-based Attention for Collaborative RankingCode0
Learning PSD-valued functions using kernel sums-of-squaresCode0
MatchNet: Unifying Feature and Metric Learning for Patch-Based MatchingCode0
Label a Herd in Minutes: Individual Holstein-Friesian Cattle IdentificationCode0
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin RadarCode0
Classification from Triplet Comparison DataCode0
Know Your Neighborhood: General and Zero-Shot Capable Binary Function Search Powered by Call GraphletsCode0
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right FeatureCode0
A Metric Learning Approach to Anomaly Detection in Video GamesCode0
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL PoliciesCode0
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and EmbeddingCode0
Channel Augmented Joint Learning for Visible-Infrared RecognitionCode0
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal LiftingCode0
Interval Bound Interpolation for Few-shot Learning with Few TasksCode0
Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural NetworksCode0
Large-scale Log-determinant Computation through Stochastic Chebyshev ExpansionsCode0
In Defense of the Triplet Loss for Person Re-IdentificationCode0
In Defense of the Classification Loss for Person Re-IdentificationCode0
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for ImagesCode0
User Diverse Preference Modeling by Multimodal Attentive Metric LearningCode0
Incorporating the Rhetoric of Scientific Language into Sentence Embeddings using Phrase-guided Distant Supervision and Metric LearningCode0
Inspecting class hierarchies in classification-based metric learning modelsCode0
Improving Collaborative Metric Learning with Efficient Negative SamplingCode0
A New Similarity Space Tailored for Supervised Deep Metric LearningCode0
Semi-Discriminative Representation Loss for Online Continual LearningCode0
A new dataset of dog breed images and a benchmark for fine-grained classificationCode0
Improving Generalization of Metric Learning via Listwise Self-distillationCode0
Integrating Deep Metric Learning with Coreset for Active Learning in 3D SegmentationCode0
Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified SamplingCode0
Improved Deep Metric Learning with Multi-class N-pair Loss ObjectiveCode0
An end-to-end approach for the verification problem: learning the right distanceCode0
Improved Diversity-Promoting Collaborative Metric Learning for RecommendationCode0
Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine SimilarityCode0
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human SupervisionCode0
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image SegmentationCode0
IDEAL: Independent Domain Embedding Augmentation LearningCode0
Improved Embeddings with Easy Positive Triplet MiningCode0
Large Scale Open-Set Deep Logo DetectionCode0
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
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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