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 11011150 of 1648 papers

TitleStatusHype
MVP Matching: A Maximum-Value Perfect Matching for Mining Hard Samples, With Application to Person Re-IdentificationCode0
Variational Few-Shot Learning0
Learning to Align Multi-Camera Domains using Part-Aware Clustering for Unsupervised Video Person Re-Identification0
Visual Explanation for Deep Metric LearningCode0
A weakly supervised adaptive triplet loss for deep metric learning0
Extreme Triplet Learning: Effectively Optimizing Easy Positives and Hard Negatives0
Discrete InfoMax Codes for Meta-Learning0
Iterative Deep Graph Learning for Graph Neural Networks0
Prototype Recalls for Continual Learning0
MULTI-LABEL METRIC LEARNING WITH BIDIRECTIONAL REPRESENTATION DEEP NEURAL NETWORKS0
Project and Forget: Solving Large Scale Metric Constrained Problems0
Learning Mahalanobis Metric Spaces via Geometric Approximation Algorithms0
MIC: Mining Interclass Characteristics for Improved Metric LearningCode0
Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identificationCode0
Multi-task Batch Reinforcement Learning with Metric Learning0
Single Camera Training for Person Re-identificationCode0
Improving Collaborative Metric Learning with Efficient Negative SamplingCode0
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction0
Deep Aggregation of Regional Convolutional Activations for Content Based Image Retrieval0
Deep Metric Learning using Similarities from Nonlinear Rank Approximations0
Visualizing How Embeddings GeneralizeCode0
Fast Low-rank Metric Learning for Large-scale and High-dimensional DataCode0
Deep Joint Embeddings of Context and Content for Recommendation0
SoftTriple Loss: Deep Metric Learning Without Triplet SamplingCode1
Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural NetworksCode0
Deep Metric Learning with Density Adaptivity0
Metric Learning from Imbalanced Data0
Metric Learning for Adversarial RobustnessCode0
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification0
Large Scale Landmark Recognition via Deep Metric Learning0
Global-Local Temporal Representations For Video Person Re-Identification0
User Diverse Preference Modeling by Multimodal Attentive Metric LearningCode0
PANet: Few-Shot Image Semantic Segmentation with Prototype AlignmentCode1
Learning Deep Representations by Mutual Information for Person Re-identification0
Sparse Bayesian approach for metric learning in latent spaceCode0
Isotropy Maximization Loss and Entropic Score: Accurate, Fast, Efficient, Scalable, and Turnkey Neural Networks Out-of-Distribution Detection Based on The Principle of Maximum EntropyCode1
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation0
metric-learn: Metric Learning Algorithms in PythonCode0
Video Face Clustering with Unknown Number of ClustersCode0
Metric Learning With HORDE: High-Order Regularizer for Deep EmbeddingsCode0
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning0
Attention Control with Metric Learning Alignment for Image Set-based Recognition0
Learning a Unified Embedding for Visual Search at Pinterest0
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval0
A Benchmark on Tricks for Large-scale Image Retrieval0
Learning Quintuplet Loss for Large-scale Visual Geo-Localization0
Classification from Triplet Comparison DataCode0
Mitigating Uncertainty in Document ClassificationCode0
Deep Metric Learning with Alternating Projections onto Feasible Sets0
SIAMESE NETWORK BASED METRIC LEARNING FOR SAR TARGET CLASSIFICATIONCode0
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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