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
Metric Learning for Dynamic Text ClassificationCode0
Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events0
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image ClassificationCode0
Domain Generalization via Model-Agnostic Learning of Semantic FeaturesCode0
MLAT: Metric Learning for kNN in Streaming Time Series0
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human SupervisionCode0
Adversarial Skill Networks: Unsupervised Robot Skill Learning from VideoCode0
Learning Hierarchical Feature Space Using CLAss-specific Subspace Multiple Kernel -- Metric Learning for Classification0
Designovel's system description for Fashion-IQ challenge 20190
Collaborative Preference Embedding against Sparse Labels0
SegSort: Segmentation by Discriminative Sorting of SegmentsCode0
Vehicle Re-identification with Viewpoint-aware Metric Learning0
Multiple Kernel Fisher Discriminant Metric Learning for Person Re-identification0
Private Protocols for U-Statistics in the Local Model and Beyond0
A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification0
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning0
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation0
Collect and Select: Semantic Alignment Metric Learning for Few-Shot LearningCode0
MVP Matching: A Maximum-Value Perfect Matching for Mining Hard Samples, With Application to Person Re-IdentificationCode0
Variational Few-Shot Learning0
Deep Metric Learning With Tuplet Margin Loss0
Deep Meta Metric LearningCode0
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
Project and Forget: Solving Large Scale Metric Constrained Problems0
Extreme Triplet Learning: Effectively Optimizing Easy Positives and Hard Negatives0
MIC: Mining Interclass Characteristics for Improved Metric LearningCode0
Iterative Deep Graph Learning for Graph Neural Networks0
Prototype Recalls for Continual Learning0
Multi-task Batch Reinforcement Learning with Metric Learning0
Learning Mahalanobis Metric Spaces via Geometric Approximation Algorithms0
Discrete InfoMax Codes for Meta-Learning0
MULTI-LABEL METRIC LEARNING WITH BIDIRECTIONAL REPRESENTATION DEEP NEURAL NETWORKS0
Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identificationCode0
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 Metric Learning using Similarities from Nonlinear Rank Approximations0
Deep Aggregation of Regional Convolutional Activations for Content Based Image Retrieval0
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
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
Global-Local Temporal Representations For Video Person Re-Identification0
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification0
Large Scale Landmark Recognition via Deep Metric Learning0
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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