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 201250 of 1648 papers

TitleStatusHype
Deep multi-metric learning for text-independent speaker verificationCode1
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity LocalizationCode1
Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric LearningCode1
Asymmetric metric learning for knowledge transferCode1
Graph Neural Network Based Coarse-Grained Mapping PredictionCode1
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node EmbeddingsCode1
Compositional Learning of Image-Text Query for Image RetrievalCode1
Self-supervised Knowledge Distillation for Few-shot LearningCode1
Visual Identification of Individual Holstein-Friesian Cattle via Deep Metric LearningCode1
Attribute-aware Identity-hard Triplet Loss for Video-based Person Re-identificationCode1
Provably Robust Metric LearningCode1
Quasi-Dense Similarity Learning for Multiple Object TrackingCode1
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown ExamplesCode1
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsCode1
Towards Transferable Targeted AttackCode1
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill IdentificationCode1
Few-Shot Open-Set Recognition using Meta-LearningCode1
Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End OptimizationCode1
One-Shot Object Detection without Fine-TuningCode1
DiVA: Diverse Visual Feature Aggregation for Deep Metric LearningCode1
Maximum Density Divergence for Domain AdaptationCode1
SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action RecognitionCode1
Continual Learning of Object InstancesCode1
Triplet Loss for Knowledge DistillationCode1
Deformation-Aware 3D Model Embedding and RetrievalCode1
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component AnalysisCode1
A Comparison of Metric Learning Loss Functions for End-To-End Speaker VerificationCode1
Proxy Anchor Loss for Deep Metric LearningCode1
Negative Margin Matters: Understanding Margin in Few-shot ClassificationCode1
A Unified Object Motion and Affinity Model for Online Multi-Object TrackingCode1
PADS: Policy-Adapted Sampling for Visual Similarity LearningCode1
Temporally Coherent Embeddings for Self-Supervised Video Representation LearningCode1
A unifying mutual information view of metric learning: cross-entropy vs. pairwise lossesCode1
Detecting Deepfakes with Metric LearningCode1
OpenGAN: Open Set Generative Adversarial NetworksCode1
A Metric Learning Reality CheckCode1
Embedding Expansion: Augmentation in Embedding Space for Deep Metric LearningCode1
Generalized Product Quantization Network for Semi-supervised Image RetrievalCode1
Circle Loss: A Unified Perspective of Pair Similarity OptimizationCode1
Revisiting Training Strategies and Generalization Performance in Deep Metric LearningCode1
CoLES: Contrastive Learning for Event Sequences with Self-SupervisionCode1
An Inductive Bias for Distances: Neural Nets that Respect the Triangle InequalityCode1
Graph Neural Distance Metric Learning with Graph-BertCode1
Symmetrical Synthesis for Deep Metric LearningCode1
Weakly Supervised Temporal Action Localization Using Deep Metric LearningCode1
Deep Learning for Person Re-identification: A Survey and OutlookCode1
Deep Iterative and Adaptive Learning for Graph Neural NetworksCode1
Cross-Batch Memory for Embedding LearningCode1
Fully Convolutional Geometric FeaturesCode1
Learning Invariant Representations of Social Media UsersCode1
Show:102550
← PrevPage 5 of 33Next →

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