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 51–60 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified