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 901950 of 1648 papers

TitleStatusHype
Sharing Matters for Generalization in Deep Metric Learning0
Sharper Generalization Bounds for Pairwise Learning0
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data0
ShufaNet: Classification method for calligraphers who have reached the professional level0
Distance Metric-Based Learning with Interpolated Latent Features for Location Classification in Endoscopy Image and Video0
Signal Processing in the Retina: Interpretable Graph Classifier to Predict Ganglion Cell Responses0
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning0
Significance of Softmax-based Features in Comparison to Distance Metric Learning-based Features0
Pairwise Supervision Can Provably Elicit a Decision Boundary0
Similarity Component Analysis0
Similarity Function Tracking using Pairwise Comparisons0
SIMILARITY LEARNING FOR COVER SONG IDENTIFICATION USING CROSS-SIMILARITY MATRICES OF MULTI-LEVEL DEEP SEQUENCES0
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval0
Simple But Effective: Rethinking the Ability of Deep Learning in fNIRS to Exclude Abnormal Input0
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning0
Simultaneous Preference and Metric Learning from Paired Comparisons0
Single-image driven 3d viewpoint training data augmentation for effective wine label recognition0
SLADE: A Self-Training Framework For Distance Metric Learning0
Smart Mining for Deep Metric Learning0
Smooth Proxy-Anchor Loss for Noisy Metric Learning0
Solving Instance Detection from an Open-World Perspective0
SpaDen : Sparse and Dense Keypoint Estimation for Real-World Chart Understanding0
Sparse Compositional Metric Learning0
Sparse Metric Learning via Smooth Optimization0
Sparse Multidimensional Patient Modeling using Auxiliary Confidence Labels0
Sparse online relative similarity learning0
Spatial Assembly Networks for Image Representation Learning0
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification0
Spatially Optimized Compact Deep Metric Learning Model for Similarity Search0
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey0
Spherical Feature Transform for Deep Metric Learning0
Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning0
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning0
Statistical Latent Space Approach for Mixed Data Modelling and Applications0
STC Speaker Recognition Systems for the VOiCES From a Distance Challenge0
Stochastic Class-Based Hard Example Mining for Deep Metric Learning0
Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples0
Stochastic Dykstra Algorithms for Metric Learning on Positive Semi-Definite Cone0
Stochastic Flows and Geometric Optimization on the Orthogonal Group0
Structural Deep Metric Learning for Room Layout Estimation0
Structured learning of metric ensembles with application to person re-identification0
Structure and Semantics Preserving Document Representations0
Sub-GMN: The Neural Subgraph Matching Network Model0
Subspace Representation Learning for Few-shot Image Classification0
Supervised Bipartite Graph Inference0
Supervised Categorical Metric Learning with Schatten p-Norms0
Supervised LogEuclidean Metric Learning for Symmetric Positive Definite Matrices0
Supervised Metric Learning for Music Structure Features0
Supervised Metric Learning with Generalization Guarantees0
Supervised Similarity for High-Yield Corporate Bonds with Quantum Cognition Machine Learning0
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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