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 251300 of 1648 papers

TitleStatusHype
SoftTriple Loss: Deep Metric Learning Without Triplet SamplingCode1
PANet: Few-Shot Image Semantic Segmentation with Prototype AlignmentCode1
Isotropy Maximization Loss and Entropic Score: Accurate, Fast, Efficient, Scalable, and Turnkey Neural Networks Out-of-Distribution Detection Based on The Principle of Maximum EntropyCode1
R2D2: Repeatable and Reliable Detector and DescriptorCode1
Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse DatasetCode1
Collaborative Translational Metric LearningCode1
Multi-Similarity Loss with General Pair Weighting for Deep Metric LearningCode1
Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing ImagesCode1
Deep Cosine Metric Learning for Person Re-IdentificationCode1
Polarity Loss for Zero-shot Object DetectionCode1
Deep Metric Learning by Online Soft Mining and Class-Aware AttentionCode1
Directional Statistics-based Deep Metric Learning for Image Classification and RetrievalCode1
TVAE: Triplet-Based Variational Autoencoder using Metric LearningCode1
Additive Margin Softmax for Face VerificationCode1
Sampling Matters in Deep Embedding LearningCode1
Time-Contrastive Networks: Self-Supervised Learning from VideoCode1
No Fuss Distance Metric Learning using ProxiesCode1
Matching Networks for One Shot LearningCode1
Metric Learning with Adaptive Density DiscriminationCode1
Deep metric learning using Triplet networkCode1
Unsupervised Ground Metric Learning0
Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization?0
Droid: A Resource Suite for AI-Generated Code Detection0
Grid-Reg: Grid-Based SAR and Optical Image Registration Across Platforms0
Dare to Plagiarize? Plagiarized Painting Recognition and Retrieval0
Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision0
Offline Goal-Conditioned Reinforcement Learning with Projective Quasimetric Planning0
Global Ground Metric Learning with Applications to scRNA dataCode0
Few-Shot Learning for Industrial Time Series: A Comparative Analysis Using the Example of Screw-Fastening Process Monitoring0
Discrete Scale-invariant Metric Learning for Efficient Collaborative FilteringCode0
Synthetic Speech Source Tracing using Metric Learning0
Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion0
Self-supervised Latent Space Optimization with Nebula Variational Coding0
Emotion-aware Dual Cross-Attentive Neural Network with Label Fusion for Stance Detection in Misinformative Social Media ContentCode0
Learning to Select In-Context Demonstration Preferred by Large Language Model0
Adversarial Deep Metric Learning for Cross-Modal Audio-Text Alignment in Open-Vocabulary Keyword Spotting0
LLM-based Evaluation Policy Extraction for Ecological Modeling0
Negative Metric Learning for Graphs0
Let Humanoids Hike! Integrative Skill Development on Complex Trails0
GRAML: Goal Recognition As Metric Learning0
ProFi-Net: Prototype-based Feature Attention with Curriculum Augmentation for WiFi-based Gesture Recognition0
A Few-Shot Metric Learning Method with Dual-Channel Attention for Cross-Modal Same-Neuron Identification0
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category DiscoveryCode0
Optimistic Online Learning in Symmetric Cone Games0
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis0
Reasoning and Learning a Perceptual Metric for Self-Training of Reflective Objects in Bin-Picking with a Low-cost CameraCode0
Enhancing Martian Terrain Recognition with Deep Constrained Clustering0
Reconstructing Cell Lineage Trees from Phenotypic Features with Metric Learning0
Riemannian Metric Learning: Closer to You than You Imagine0
Radar Pulse Deinterleaving with Transformer Based 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