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 141–150 of 305 papers

TitleStatusHype
Compositional Embeddings for Multi-Label One-Shot Learning—0
Generative One-Shot Face Recognition—0
Generative Adversarial Residual Pairwise Networks for One Shot Learning—0
Comparison of Maximum Likelihood and GAN-based training of Real NVPs—0
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study—0
A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium—0
Adaptive Image Transformer for One-Shot Object Detection—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
Can Humans Do Less-Than-One-Shot Learning?—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified