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 111–120 of 305 papers

TitleStatusHype
AROS: Affordance Recognition with One-Shot Human Stances—0
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input—0
Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning—0
Inverting The Generator Of A Generative Adversarial Network—0
Investigation of using disentangled and interpretable representations with language conditioning for cross-lingual voice conversion—0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
Covariance of Motion and Appearance Featuresfor Spatio Temporal Recognition Tasks—0
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning—0
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances—0
Discovering objects and their relations from entangled scene representations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified