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 91–100 of 305 papers

TitleStatusHype
Can Humans Do Less-Than-One-Shot Learning?—0
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters—0
FIGO: Enhanced Fingerprint Identification Approach Using GAN and One Shot Learning Techniques—0
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI—0
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning—0
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning—0
Generative Adversarial Residual Pairwise Networks for One Shot Learning—0
Generative One-Shot Face Recognition—0
Distributional Modeling on a Diet: One-shot Word Learning from Text Only—0
Distilled One-Shot Federated Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified