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 601–650 of 1648 papers

TitleStatusHype
A Benchmark on Tricks for Large-scale Image Retrieval—0
Data-driven prediction of multistable systems from sparse measurements—0
Image Patch-Matching with Graph-Based Learning in Street Scenes—0
Generalization Guarantee of SGD for Pairwise Learning—0
Attention-Set based Metric Learning for Video Face Recognition—0
Malicious Requests Detection with Improved Bidirectional Long Short-term Memory Neural Networks—0
Generalizable Embeddings with Cross-batch Metric Learning—0
GCC: Generative Calibration Clustering—0
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer—0
Adaptive additive classification-based loss for deep metric learning—0
Image Retrieval Methods in the Dissimilarity Space—0
Improved Deep Metric Learning with Multi-class N-pair Loss Objective—0
Improving Calibration in Deep Metric Learning With Cross-Example Softmax—0
Fuzzy clustering algorithms with distance metric learning and entropy regularization—0
Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild—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
DARI: Distance metric And Representation Integration for Person Verification—0
Geometric Mean Improves Loss For Few-Shot Learning—0
Fully Unsupervised Training of Few-shot Keyword Spotting—0
Fully Convolutional Geometric Features for Category-level Object Alignment—0
Dare to Plagiarize? Plagiarized Painting Recognition and Retrieval—0
Geometry-aware Deep Transform—0
From Graph Local Embedding to Deep Metric Learning—0
Global-Local Temporal Representations For Video Person Re-Identification—0
Attention Control with Metric Learning Alignment for Image Set-based Recognition—0
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments—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
From Age Estimation to Age-Invariant Face Recognition: Generalized Age Feature Extraction Using Order-Enhanced Contrastive Learning—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
Deep Asymmetric Metric Learning via Rich Relationship Mining—0
Identity-Aware Semi-Supervised Learning for Comic Character Re-Identification—0
Frequency Guidance Matters in Few-Shot Learning—0
Frequency Domain Modality-invariant Feature Learning for Visible-infrared Person Re-Identification—0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification—0
Graph Wasserstein Correlation Analysis for Movie Retrieval—0
Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification—0
Deep Bayes Factor Scoring for Authorship Verification—0
Grid-Reg: Grid-Based SAR and Optical Image Registration Across Platforms—0
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data—0
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field—0
Attention-based Ensemble for Deep Metric Learning—0
Hyperspherical embedding for novel class classification—0
FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric Learning—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