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 81–90 of 305 papers

TitleStatusHype
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified