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 10011050 of 1648 papers

TitleStatusHype
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component AnalysisCode1
A Comparison of Metric Learning Loss Functions for End-To-End Speaker VerificationCode1
Proxy Anchor Loss for Deep Metric LearningCode1
Secure Metric Learning via Differential Pairwise Privacy0
Stochastic Flows and Geometric Optimization on the Orthogonal Group0
Negative Margin Matters: Understanding Margin in Few-shot ClassificationCode1
A Unified Object Motion and Affinity Model for Online Multi-Object TrackingCode1
PADS: Policy-Adapted Sampling for Visual Similarity LearningCode1
Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric LearningCode0
Temporally Coherent Embeddings for Self-Supervised Video Representation LearningCode1
A unifying mutual information view of metric learning: cross-entropy vs. pairwise lossesCode1
Detecting Deepfakes with Metric LearningCode1
A Metric Learning Reality CheckCode1
OpenGAN: Open Set Generative Adversarial NetworksCode1
CAFENet: Class-Agnostic Few-Shot Edge Detection Network0
Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric LearningCode2
M^5L: Multi-Modal Multi-Margin Metric Learning for RGBT Tracking0
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition0
Channel Interaction Networks for Fine-Grained Image Categorization0
iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection0
Metric Learning for Ordered Labeled Trees with pq-gramsCode0
Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach0
Embedding Expansion: Augmentation in Embedding Space for Deep Metric LearningCode1
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition0
Why is the Mahalanobis Distance Effective for Anomaly Detection?0
Learning to Compare Relation: Semantic Alignment for Few-Shot Learning0
Action Quality Assessment using Siamese Network-Based Deep Metric Learning0
Affinity guided Geometric Semi-Supervised Metric Learning0
Generalized Product Quantization Network for Semi-supervised Image RetrievalCode1
Supervised Categorical Metric Learning with Schatten p-Norms0
Circle Loss: A Unified Perspective of Pair Similarity OptimizationCode1
An end-to-end approach for the verification problem: learning the right distanceCode0
Revisiting Training Strategies and Generalization Performance in Deep Metric LearningCode1
CoLES: Contrastive Learning for Event Sequences with Self-SupervisionCode1
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks0
An Inductive Bias for Distances: Neural Nets that Respect the Triangle InequalityCode1
Multiple Metric Learning for Structured Data0
Exploiting the Matching Information in the Support Set for Few Shot Event Classification0
3D Point Cloud Enhancement using Graph-Modelled Multiview Depth Measurements0
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition0
Graph Neural Distance Metric Learning with Graph-BertCode1
Learning Test-time Augmentation for Content-based Image Retrieval0
Relaxed N-Pairs Loss for Context-Aware Recommendations of Television Content0
Distance Metric Learning for Graph Structured DataCode0
Symmetrical Synthesis for Deep Metric LearningCode1
Deep Metric Learning Network using Proxies for Chromosome Classification in Karyotyping Test0
Graph Metric Learning via Gershgorin Disc Alignment0
Weakly Supervised Temporal Action Localization Using Deep Metric LearningCode1
Deep Metric Structured Learning For Facial Expression Recognition0
Deep Learning for Person Re-identification: A Survey and OutlookCode1
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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