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 501–550 of 1648 papers

TitleStatusHype
Learning Test-time Augmentation for Content-based Image Retrieval—0
Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches—0
Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces—0
Enhancing Martian Terrain Recognition with Deep Constrained Clustering—0
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT—0
Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric Learning Network—0
Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation—0
Enhancing Understanding Through Wildlife Re-Identification—0
A Retrofitting Model for Incorporating Semantic Relations into Word Embeddings—0
Entity Hierarchy Embedding—0
Deep Metric Learning Network using Proxies for Chromosome Classification in Karyotyping Test—0
Adaptive Nearest Neighbor: A General Framework for Distance Metric Learning—0
A Bottom-Up Approach to Class-Agnostic Image Segmentation—0
Generative Local Metric Learning for Kernel Regression—0
Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning—0
Deep metric learning improves lab of origin prediction of genetically engineered plasmids—0
GCC: Generative Calibration Clustering—0
Better Knowledge Retention through Metric Learning—0
A MIMO Radar-Based Metric Learning Approach for Activity Recognition—0
Generalizable Embeddings with Cross-batch Metric Learning—0
Deep Metric Learning for Practical Person Re-Identification—0
A MIMO Radar-based Few-Shot Learning Approach for Human-ID—0
Deep metric learning for multi-labelled radiographs—0
Deep Metric Learning for Ground Images—0
Bayesian representation learning with oracle constraints—0
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels—0
Generalization Guarantee of SGD for Pairwise Learning—0
Generative Local Metric Learning for Nearest Neighbor Classification—0
Global-Local Temporal Representations For Video Person Re-Identification—0
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments—0
Deep Metric Learning for Computer Vision: A Brief Overview—0
Bayesian Neighbourhood Component Analysis—0
Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels—0
Fully Convolutional Geometric Features for Category-level Object Alignment—0
Deep Metric Learning-Based Semi-Supervised Regression With Alternate Learning—0
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure—0
Bayesian Evidential Learning for Few-Shot Classification—0
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19—0
A Metric-learning based framework for Support Vector Machines and Multiple Kernel Learning—0
Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection—0
Fully Unsupervised Training of Few-shot Keyword Spotting—0
Deep Metric Learning Assisted by Intra-variance in A Semi-supervised View of Learning—0
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels—0
A metric learning approach for endoscopic kidney stone identification—0
A Metric Learning Approach to Misogyny Categorization—0
Robust Metric Learning by Smooth Optimization—0
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments—0
Deep learning-based person re-identification methods: A survey and outlook of recent works—0
Deep Joint Embeddings of Context and Content for Recommendation—0
Deep Hybrid Similarity Learning for Person Re-identification—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
3NEDR@191.5—Unverified
4ResNet-50 + Intra-Batch (ensemble of 5)R@191.5—Unverified
5ResNet-50 + AVSLR@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