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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 111–120 of 305 papers

TitleStatusHype
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified