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 12511300 of 1648 papers

TitleStatusHype
Robust Angular Local Descriptor LearningCode0
Dynamic Curriculum Learning for Imbalanced Data Classification0
Multi-feature Distance Metric Learning for Non-rigid 3D Shape Retrieval0
Content-Based Brain Tumor Retrieval for MR Images Using Transfer Learning0
Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization0
Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learningCode0
Deep Metric Transfer for Label Propagation with Limited Annotated DataCode0
Learning Incremental Triplet Margin for Person Re-identification0
Few-shot classification in Named Entity Recognition TaskCode0
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges (with Appendices on Mathematical Background and Detailed Algorithms Explanation)0
METCC: METric learning for Confounder Control Making distance matter in high dimensional biological analysis0
Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation0
Deep-RBF Networks Revisited: Robust Classification with Rejection0
Deep Embedding using Bayesian Risk Minimization with Application to Sketch Recognition0
Deep Cosine Metric Learning for Person Re-IdentificationCode1
Bilevel Distance Metric Learning for Robust Image Recognition0
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer LearningCode0
Classification is a Strong Baseline for Deep Metric LearningCode0
Utilizing Complex-valued Network for Learning to Compare Image Patches0
Polarity Loss for Zero-shot Object DetectionCode1
Visual Font Pairing0
RelationNet2: Deep Comparison Columns for Few-Shot LearningCode0
Batch DropBlock Network for Person Re-identification and BeyondCode0
Generative Dual Adversarial Network for Generalized Zero-shot LearningCode0
Weakly Supervised Scene Parsing with Point-based Distance Metric Learning0
Deep Metric Learning by Online Soft Mining and Class-Aware AttentionCode1
Designing an Effective Metric Learning Pipeline for Speaker Diarization0
Variational learning across domains with triplet information0
Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis0
Offline Signature Verification by Combining Graph Edit Distance and Triplet NetworksCode0
Deep Metric Learning with Hierarchical Triplet Loss0
Transfer Metric Learning: Algorithms, Applications and Outlooks0
Task-Embedded Control Networks for Few-Shot Imitation LearningCode0
Disambiguating Music Artists at Scale with Audio Metric LearningCode0
Modeling Uncertainty with Hedged Instance EmbeddingCode0
Open-Ended Content-Style Recombination Via Leakage Filtering0
Variadic Learning by Bayesian Nonparametric Deep Embedding0
CPMetric: Deep Siamese Networks for Learning Distances Between Structured Preferences0
Metric Learning for Phoneme Perception0
Learning a Local Feature Descriptor for 3D LiDAR Scans0
In Defense of the Classification Loss for Person Re-IdentificationCode0
Heated-Up Softmax EmbeddingCode0
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems0
Merging datasets through deep learningCode0
Correcting the Triplet Selection Bias for Triplet LossCode0
Retrospective Encoders for Video Summarization0
RelocNet: Continuous Metric Learning Relocalisation using Neural Nets0
Learning 3D Keypoint Descriptors for Non-Rigid Shape Matching0
Deep Variational Metric Learning0
Discriminative Learning of Similarity and Group Equivariant Representations0
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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