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 14011450 of 1648 papers

TitleStatusHype
TripletGAN: Training Generative Model with Triplet Loss0
Towards ECDSA key derivation from deep embeddings for novel Blockchain applications0
Metric Learning-based Generative Adversarial Network0
Online Learning for Changing Environments using Coin Betting0
Learning to Warm-Start Bayesian Hyperparameter Optimization0
Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification0
Rethinking Feature Discrimination and Polymerization for Large-scale RecognitionCode0
Pose Guided RGBD Feature Learning for 3D Object Pose Estimation0
Learning Discriminative ab-Divergences for Positive Definite Matrices0
Learning Discriminative Aggregation Network for Video-Based Face Recognition0
Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification0
BIER - Boosting Independent Embeddings Robustly0
Semantic Segmentation from Limited Training Data0
Learning Low-Dimensional Metrics0
Joint Adaptive Neighbours and Metric Learning for Multi-view Subspace Clustering0
Deep Shape MatchingCode0
Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments0
Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identificationCode0
Statistical Latent Space Approach for Mixed Data Modelling and Applications0
Semantic Instance Segmentation with a Discriminative Loss FunctionCode0
Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version)0
Deep Metric Learning with Angular LossCode0
Hierarchical Metric Learning for Optical Remote Sensing Scene Categorization0
Joint Dimensionality Reduction and Metric Learning: A Geometric Take0
Deep Spectral Clustering Learning0
Latent Relational Metric Learning via Memory-based Attention for Collaborative RankingCode0
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer0
Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric LearningCode0
One-Shot Metric Learning for Person Re-Identification0
Hierarchical Multimodal Metric Learning for Multimodal Classification0
Joint Intensity and Spatial Metric Learning for Robust Gait Recognition0
See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification0
Revisiting Metric Learning for SPD Matrix Based Visual Representation0
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data0
Sampling Matters in Deep Embedding LearningCode1
Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification0
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog ModelCode0
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels0
Discriminative Metric Learning with Deep Forest0
Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models0
Learning to Rank Using Localized Geometric Mean MetricsCode0
Learning Semantic Relatedness From Human Feedback Using Metric Learning0
Unified Embedding and Metric Learning for Zero-Exemplar Event Detection0
Lifelong Metric Learning0
Time-Contrastive Networks: Self-Supervised Learning from VideoCode1
NormFace: L2 Hypersphere Embedding for Face VerificationCode0
Cross-media Similarity Metric Learning with Unified Deep Networks0
Attention-Set based Metric Learning for Video Face Recognition0
Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification0
Smart Mining for Deep Metric 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