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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1001–1050 of 1648 papers

TitleStatusHype
Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Series—0
Unsupervised Domain Adaptation for Distance Metric Learning—0
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling—0
Unsupervised Feature Learning from Temporal Data—0
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality—0
Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction—0
Unsupervised Ground Metric Learning—0
Unsupervised Hyperbolic Metric Learning—0
Unsupervised Learning of Spatiotemporally Coherent Metrics—0
UNSUPERVISED METRIC LEARNING VIA NONLINEAR FEATURE SPACE TRANSFORMATIONS—0
Unsupervised Natural Image Patch Learning—0
Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion—0
Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption—0
Utilizing Complex-valued Network for Learning to Compare Image Patches—0
Variable Star Classification Using Multi-View Metric Learning—0
Variadic Learning by Bayesian Nonparametric Deep Embedding—0
Variational Few-Shot Learning—0
Variational learning across domains with triplet information—0
Variational learning across domains with triplet information—0
Variational Quantum Kernels with Task-Specific Quantum Metric Learning—0
VBALD - Variational Bayesian Approximation of Log Determinants—0
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition—0
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition—0
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification—0
VehicleGAN: Pair-flexible Pose Guided Image Synthesis for Vehicle Re-identification—0
Vehicle Re-identification with Viewpoint-aware Metric Learning—0
VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and Exact Solution—0
Video Understanding as Machine Translation—0
Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification—0
Visual Font Pairing—0
Visual Neural Decoding via Improved Visual-EEG Semantic Consistency—0
Was that so hard? Estimating human classification difficulty—0
WCE Polyp Detection with Triplet based Embeddings—0
Getting More for Less: Using Weak Labels and AV-Mixup for Robust Audio-Visual Speaker Verification—0
Weakly Supervised Scene Parsing with Point-based Distance Metric Learning—0
What Makes Objects Similar: A Unified Multi-Metric Learning Approach—0
What Makes Two Language Models Think Alike?—0
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition—0
Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification—0
Why is the Mahalanobis Distance Effective for Anomaly Detection?—0
WideResNet with Joint Representation Learning and Data Augmentation for Cover Song Identification—0
Worst-Case Linear Discriminant Analysis—0
Zero Day Threat Detection Using Metric Learning Autoencoders—0
Robust Metric Learning by Smooth Optimization—0
Zero-Shot Skeleton-based Action Recognition with Dual Visual-Text Alignment—0
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering—0
Metric Learning for Individual Fairness—0
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction—0
Compressive Mahalanobis Metric Learning Adapts to Intrinsic Dimension—0
Open Set Recognition for Random Forest—0
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All datasetsCARS196Stanford Online ProductsCUB-200-2011In-ShopDyML-AnimalDyML-ProductDyML-Vehicle

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@198.2—Unverified
2Hyp-DINO 8x8R@192.8—Unverified
3ResNet-50 + AVSLR@191.5—Unverified
4NEDR@191.5—Unverified
5ResNet-50 + Intra-Batch (ensemble of 5)R@191.5—Unverified
6EfficientDML-VPTSP-G/512R@191.2—Unverified
7CCL (ResNet-50)R@191.02—Unverified
8ResNet50 + LanguageR@190.2—Unverified
9ResNet-50 + MetrixR@189.6—Unverified
10ResNet50 + S2SDR@189.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@191.2—Unverified
2STIRR@188.3—Unverified
3Recall@k Surrogate Loss (ViT-B/16)R@188—Unverified
4ViT-TripletR@186.5—Unverified
5ROADMAP (DeiT-S)R@186—Unverified
6Hyp-ViTR@185.9—Unverified
7Hyp-DINOR@185.1—Unverified
8Recall@k Surrogate Loss (ViT-B/32)R@185.1—Unverified
9CCL (ResNet-50)R@183.1—Unverified
10ROADMAP (ResNet-50)R@183.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@190.1—Unverified
2EfficientDML-VPTSP-G/512R@188.5—Unverified
3Hyp-ViTR@185.6—Unverified
4Hyp-DINOR@180.9—Unverified
5NEDR@174.9—Unverified
6CCL (ResNet-50)R@173.45—Unverified
7ResNet-50 + AVSLR@171.9—Unverified
8ResNet-50 + Intra-Batch ConnectionsR@171.8—Unverified
9ResNet50 + LanguageR@171.4—Unverified
10ResNet-50 + MetrixR@171.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@196.7—Unverified
2STIRR@195—Unverified
3MGAR@194.3—Unverified
4Hyp-ViTR@192.5—Unverified
5Hyp-DINOR@192.4—Unverified
6CCL (ResNet-50)R@192.31—Unverified
7Gradient SurgeryR@192.21—Unverified
8ResNet-50 + MetrixR@192.2—Unverified
9EfficientDML-VPTSP-G/512R@192.1—Unverified
10ViT-TripletR@192.1—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP43.8—Unverified
2CSLAverage-mAP31—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP38—Unverified
2CSLAverage-mAP28.7—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP37—Unverified
2CSLAverage-mAP12.1—Unverified