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 801850 of 1648 papers

TitleStatusHype
MSE Loss with Outlying Label for Imbalanced Classification0
Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa0
Online Hashing with Similarity Learning0
Ensemble of Loss Functions to Improve Generalizability of Deep Metric Learning methodsCode0
Open-Set Representation Learning through Combinatorial Embedding0
Trainable Class Prototypes for Few-Shot Learning0
Unsupervised Hyperbolic Metric Learning0
Spatial Assembly Networks for Image Representation Learning0
Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning0
Episode Adaptive Embedding Networks for Few-shot LearningCode0
Trainable Discrete Feature Embeddings for Variational Quantum ClassifierCode0
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
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
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
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
Semi-Supervised Metric Learning: A Deep Resurrection0
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image RetrievalCode0
Subspace Representation Learning for Few-shot Image Classification0
VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and Exact Solution0
Deep Transform and Metric Learning Networks0
Eye Know You: Metric Learning for End-to-end Biometric Authentication Using Eye Movements from a Longitudinal Dataset0
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes0
Dual Metric Learning for Effective and Efficient Cross-Domain RecommendationsCode0
Sparse online relative similarity learning0
Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving0
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification0
Towards Self-Adaptive Metric Learning On the Fly0
Sub-GMN: The Neural Subgraph Matching Network Model0
Hierarchical Relationship Alignment Metric Learning0
Rethinking Deep Contrastive Learning with Embedding Memory0
Hierarchical Proxy-based Loss for Deep Metric Learning0
Toward Tweet Entity Linking with Heterogeneous Information NetworksCode0
Multi-level Metric Learning for Few-shot Image RecognitionCode0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network0
Improving Image co-segmentation via Deep Metric Learning0
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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