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 211–220 of 305 papers

TitleStatusHype
Object Detection using Oriented Window Learning Vi-sion Transformer: Roadway Assets Recognition—0
Object Relation Detection Based on One-shot Learning—0
OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation—0
One-Shot Action Localization by Learning Sequence Matching Network—0
One-Shot Federated Learning with Neuromorphic Processors—0
One-Shot GAN Generated Fake Face Detection—0
One-Shot Image Classification by Learning to Restore Prototypes—0
One-shot learning and behavioral eligibility traces in sequential decision making—0
One-shot learning and big data with n=2—0
One-Shot learning based classification for segregation of plastic waste—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified