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

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Showing 1401–1450 of 1648 papers

TitleStatusHype
Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation—0
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification—0
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training—0
Few-shot Learning with Global Relatedness Decoupled-Distillation—0
Few-shot learning with improved local representations via bias rectify module—0
Few-shot Learning with Meta Metric Learners—0
Few-Shot Learning with Metric-Agnostic Conditional Embeddings—0
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval—0
Few-Shot Object Detection with Foundation Models—0
Few-shot Open Relation Extraction with Gaussian Prototype and Adaptive Margin—0
Few-Shot Partial-Label Learning—0
FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching—0
Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression—0
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction—0
FineEHR: Refine Clinical Note Representations to Improve Mortality Prediction—0
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop—0
Fine-Grained Visual Categorization via Multi-stage Metric Learning—0
CLAREL: Classification via retrieval loss for zero-shot learning—0
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition—0
Fine-tune your Classifier: Finding Correlations With Temperature—0
FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric Learning—0
Frequency Domain Modality-invariant Feature Learning for Visible-infrared Person Re-Identification—0
Frequency Guidance Matters in Few-Shot Learning—0
From Age Estimation to Age-Invariant Face Recognition: Generalized Age Feature Extraction Using Order-Enhanced Contrastive Learning—0
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments—0
From Graph Local Embedding to Deep Metric Learning—0
Fully Convolutional Geometric Features for Category-level Object Alignment—0
Fully Unsupervised Training of Few-shot Keyword Spotting—0
Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild—0
Fuzzy clustering algorithms with distance metric learning and entropy regularization—0
GCC: Generative Calibration Clustering—0
Generalizable Embeddings with Cross-batch Metric Learning—0
Generalization Guarantee of SGD for Pairwise Learning—0
Generative Local Metric Learning for Kernel Regression—0
Generative Local Metric Learning for Nearest Neighbor Classification—0
Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models—0
Geometric Mean Improves Loss For Few-Shot Learning—0
Geometry Aware Constrained Optimization Techniques for Deep Learning—0
Geometry-aware Deep Transform—0
Global-Local Temporal Representations For Video Person Re-Identification—0
GLRT-Based Metric Learning for Remote Sensing Object Retrieval—0
Learning Goal-Conditioned Policies from Sub-Optimal Offline Data via Metric Learning—0
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions—0
GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations—0
GradML: A Gradient-based Loss for Deep Metric Learning—0
GRAML: Goal Recognition As Metric Learning—0
Graph Based Semi-Supervised Learning Approach for Tamil POS tagging—0
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification—0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification—0
Graph Wasserstein Correlation Analysis for Movie Retrieval—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