SOTAVerified

One-Shot Learning

One-shot learning is the task of learning information about object categories from a single training example.

( Image credit: Siamese Neural Networks for One-shot Image Recognition )

Papers

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Showing 51–100 of 305 papers

TitleStatusHype
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI—0
One-shot lip-based biometric authentication: extending behavioral features with authentication phrase information—0
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging DataCode0
An In-Depth Evaluation of Federated Learning on Biomedical Natural Language ProcessingCode1
One-Shot Learning for Periocular Recognition: Exploring the Effect of Domain Adaptation and Data Bias on Deep Representations—0
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles—0
UOD: Universal One-shot Detection of Anatomical LandmarksCode1
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis—0
One-shot Learning for Channel Estimation in Massive MIMO Systems—0
GPT Self-Supervision for a Better Data Annotator—0
One shot learning based drivers head movement identification using a millimetre wave radar sensor—0
Towards Consistent Video Editing with Text-to-Image Diffusion Models—0
Task Adaptive Feature Transformation for One-Shot Learning—0
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts—0
A Novel Embedding Architecture and Score Level Fusion Scheme for Occluded Image Acquisition in Ear Biometrics SystemCode0
Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN ImagesCode0
Tab2KG: Semantic Table Interpretation with Lightweight Semantic ProfilesCode0
PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphy—0
One-shot skill assessment in high-stakes domains with limited data via meta learningCode0
Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification—0
One-shot recognition of any material anywhere using contrastive learning with physics-based renderingCode0
Learning New Tasks from a Few Examples with Soft-Label PrototypesCode0
A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationshipsCode0
AROS: Affordance Recognition with One-Shot Human Stances—0
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition—0
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layersCode0
BaseTransformers: Attention over base data-points for One Shot LearningCode1
One-shot Detail Retouching with Patch Space Neural Transformation BlendingCode0
One-Shot Learning of Stochastic Differential Equations with Data Adapted Kernels—0
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition—0
Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot ClassificationCode0
FETA: Towards Specializing Foundation Models for Expert Task ApplicationsCode1
A System For Robot Concept Learning Through Situated Dialogue—0
Towards Robust Drone Vision in the Wild—0
Integrating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks—0
FIGO: Enhanced Fingerprint Identification Approach Using GAN and One Shot Learning Techniques—0
Rapid Learning of Spatial Representations for Goal-Directed Navigation Based on a Novel Model of Hippocampal Place Fields—0
One-shot Learning for Autonomous Aerial Manipulation—0
A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis TreatmentCode0
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticityCode0
Sleep Posture One-Shot Learning Framework Using Kinematic Data Augmentation: In-Silico and In-Vivo Case Studies—0
It's DONE: Direct ONE-shot learning with quantile weight imprintingCode0
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition—0
Experimentally realized memristive memory augmented neural network—0
One-Shot Learning from a Demonstration with Hierarchical Latent Language—0
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input—0
Can Humans Do Less-Than-One-Shot Learning?—0
Meta-Reinforcement Learning with Self-Modifying Networks—0
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified