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 151–160 of 305 papers

TitleStatusHype
Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification—0
Position and Orientation-Aware One-Shot Learning for Medical Action Recognition from Signal Data—0
A Generative Model For Electron Paths—0
Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning—0
PVChat: Personalized Video Chat with One-Shot Learning—0
Quadruplet Network with One-Shot Learning for Fast Visual Object Tracking—0
Rapid Learning of Spatial Representations for Goal-Directed Navigation Based on a Novel Model of Hippocampal Place Fields—0
RC-DARTS: Resource Constrained Differentiable Architecture Search—0
Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media—0
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified