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 15511600 of 1648 papers

TitleStatusHype
Metric Learning for Dynamic Text ClassificationCode0
Metric Learning for Generalizing Spatial Relations to New ObjectsCode0
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category DiscoveryCode0
Metric Learning for Image RegistrationCode0
Deep Shape MatchingCode0
Metric Learning for Novelty and Anomaly DetectionCode0
Metric Learning for Ordered Labeled Trees with pq-gramsCode0
Unbiased Evaluation of Deep Metric Learning AlgorithmsCode0
Deep Randomized Ensembles for Metric LearningCode0
Metric Learning for Session-based RecommendationsCode0
Proxy Network for Few Shot LearningCode0
Deep Metric Transfer for Label Propagation with Limited Annotated DataCode0
Deep Metric Learning with Chance ConstraintsCode0
Deep Metric Learning with BIER: Boosting Independent Embeddings RobustlyCode0
Metric Learning from Limited Pairwise Preference ComparisonsCode0
Linear and Quadratic Discriminant Analysis: TutorialCode0
SIAMESE NETWORK BASED METRIC LEARNING FOR SAR TARGET CLASSIFICATIONCode0
Unsupervised Person Re-identification by Deep Asymmetric Metric EmbeddingCode0
Quantile-Quantile Embedding for Distribution Transformation and Manifold Embedding with Ability to Choose the Embedding DistributionCode0
Cosine meets Softmax: A tough-to-beat baseline for visual groundingCode0
Deep Metric Learning with Angular LossCode0
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and DatasetsCode0
An end-to-end approach for the verification problem: learning the right distanceCode0
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-MindCode0
R2D2: Reliable and Repeatable Detector and DescriptorCode0
Deep Metric Learning via Lifted Structured Feature EmbeddingCode0
Metric Learning With HORDE: High-Order Regularizer for Deep EmbeddingsCode0
Signed Graph Metric Learning via Gershgorin Disc Perfect AlignmentCode0
Time-Frequency Scattering Accurately Models Auditory Similarities Between Instrumental Playing TechniquesCode0
metric-learn: Metric Learning Algorithms in PythonCode0
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time ModelsCode0
MIC: Mining Interclass Characteristics for Improved Metric LearningCode0
Fast Low-rank Metric Learning for Large-scale and High-dimensional DataCode0
Mining on Manifolds: Metric Learning without LabelsCode0
Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric LearningCode0
Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric LearningCode0
Ranked List Loss for Deep Metric LearningCode0
Ranking and Classification driven Feature Learning for Person Re_identificationCode0
Mitigating Uncertainty in Document ClassificationCode0
Adversarial-Metric Learning for Audio-Visual Cross-Modal MatchingCode0
Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learningCode0
Reasoning and Learning a Perceptual Metric for Self-Training of Reflective Objects in Bin-Picking with a Low-cost CameraCode0
Facing the Void: Overcoming Missing Data in Multi-View ImageryCode0
Deep Metric Learning via Facility LocationCode0
XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender SystemCode0
Similarity Learning for High-Dimensional Sparse DataCode0
Towards Certified Robustness of Distance Metric LearningCode0
Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image RetrievalCode0
Similarity Metric Learning for RGB-Infrared Group Re-IdentificationCode0
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist ContinuationCode0
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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