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 851900 of 1648 papers

TitleStatusHype
Robust Text Detection in Natural Scene Images0
Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning0
Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning0
Routine Modeling with Time Series Metric Learning0
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification0
Sample complexity of learning Mahalanobis distance metrics0
SAR Image Change Detection via Spatial Metric Learning with an Improved Mahalanobis Distance0
Satellite Image Search in AgoraEO0
Scalable Angular Discriminative Deep Metric Learning for Face Recognition0
Scalable Deep Metric Learning on Attributed Graphs0
Scalable Fine-grained Generated Image Classification Based on Deep Metric Learning0
Scalable Metric Learning via Weighted Approximate Rank Component Analysis0
Scalable Nonlinear Embeddings for Semantic Category-based Image Retrieval0
Scalable Similarity Learning using Large Margin Neighborhood Embedding0
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics0
Scene Parsing with Integration of Parametric and Non-parametric Models0
School-based malaria chemoprevention as a cost-effective approach to improve cognitive and educational outcomes: a meta-analysis0
SC-ML: Self-supervised Counterfactual Metric Learning for Debiased Visual Question Answering0
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes0
SCoRe: Submodular Combinatorial Representation Learning0
A Self-Penalizing Objective Function for Scalable Interaction Detection0
Secure Metric Learning via Differential Pairwise Privacy0
See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification0
SEINE: SEgment-based Indexing for NEural information retrieval0
Self-supervised Auxiliary Loss for Metric Learning in Music Similarity-based Retrieval and Auto-tagging0
Self-supervised Latent Space Optimization with Nebula Variational Coding0
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective0
Self-Supervised Visual Place Recognition Learning in Mobile Robots0
Self-Taught Metric Learning without Labels0
Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation0
Self-Weighted Multiview Metric Learning by Maximizing the Cross Correlations0
Semantic Borrowing for Generalized Zero-Shot Learning0
Semantic-Enhanced Relational Metric Learning for Recommender Systems0
Semantic Frame Induction with Deep Metric Learning0
Semantic Granularity Metric Learning for Visual Search0
Semantic Segmentation from Limited Training Data0
Semantic Video Entity Linking Based on Visual Content and Metadata0
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning0
Semi-Supervised Clustering for Short Answer Scoring0
Semi-supervised Kernel Metric Learning Using Relative Comparisons0
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining0
Semi-Supervised Metric Learning: A Deep Resurrection0
Semi-Supervised Nonlinear Distance Metric Learning via Forests of Max-Margin Cluster Hierarchies0
Sensitive Image Classification by Vision Transformers0
SentPWNet: A Unified Sentence Pair Weighting Network for Task-specific Sentence Embedding0
Sequence Metric Learning as Synchronization of Recurrent Neural Networks0
Set Augmented Triplet Loss for Video Person Re-Identification0
SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing Interpretation0
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk0
Shadow: A Novel Loss Function for Efficient Training in Siamese Networks0
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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