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 651700 of 1648 papers

TitleStatusHype
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling0
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric LearningCode1
Ranking labs-of-origin for genetically engineered DNA using Metric Learning0
Few-shot Learning with Global Relatedness Decoupled-Distillation0
TA2N: Two-Stage Action Alignment Network for Few-shot Action RecognitionCode1
Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learning0
Deep Metric Learning Model for Imbalanced Fault Diagnosis0
Hierarchical Semantic Segmentation using Psychometric Learning0
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction0
Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa0
MSE Loss with Outlying Label for Imbalanced Classification0
Online Hashing with Similarity Learning0
Ensemble of Loss Functions to Improve Generalizability of Deep Metric Learning methodsCode0
Open-Set Representation Learning through Combinatorial Embedding0
Sequential Recommendation with Graph Neural NetworksCode1
Trainable Class Prototypes for Few-Shot Learning0
Manifold Matching via Deep Metric Learning for Generative ModelingCode1
Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning0
Unsupervised Hyperbolic Metric Learning0
Spatial Assembly Networks for Image Representation Learning0
Deep Compositional Metric LearningCode1
Virtual Fully-Connected Layer: Training a Large-Scale Face Recognition Dataset With Limited Computational ResourcesCode1
Trainable Discrete Feature Embeddings for Variational Quantum ClassifierCode0
Episode Adaptive Embedding Networks for Few-shot LearningCode0
Hotel Recognition via Latent Image Embedding0
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective0
Noise-robust Graph Learning by Estimating and Leveraging Pairwise InteractionsCode0
Atlas Based Representation and Metric Learning on ManifoldsCode0
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification0
Anomalous Sound Detection Using a Binary Classification Model and Class Centroids0
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural NetworksCode0
Distance Metric Learning through Minimization of the Free Energy0
It Takes Two to Tango: Mixup for Deep Metric LearningCode1
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric LearningCode0
Points2Polygons: Context-Based Segmentation from Weak Labels Using Adversarial Networks0
Few-Shot Partial-Label Learning0
CNN Retrieval based Unsupervised Metric Learning for Near-Duplicated Video Retrieval0
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identificationCode1
Exploring dual information in distance metric learning for clustering0
Improving Few-shot Learning with Weakly-supervised Object Localization0
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit RecommendationCode0
Unsupervised Visual Representation Learning by Online Constrained K-MeansCode1
IDEAL: Independent Domain Embedding Augmentation LearningCode0
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender SystemsCode0
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments0
A Deep Metric Learning Approach to Account LinkingCode1
Semi-Supervised Metric Learning: A Deep Resurrection0
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image RetrievalCode0
End-to-end One-shot Human ParsingCode1
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@198.2Unverified
2Hyp-DINO 8x8R@192.8Unverified
3NEDR@191.5Unverified
4ResNet-50 + Intra-Batch (ensemble of 5)R@191.5Unverified
5ResNet-50 + AVSLR@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