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 241–250 of 305 papers

TitleStatusHype
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations—0
Demystification of Few-shot and One-shot Learning—0
Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model—0
Discovering objects and their relations from entangled scene representations—0
Distilled One-Shot Federated Learning—0
Distributional Modeling on a Diet: One-shot Word Learning from Text Only—0
Dynamic Spectrum Matching with One-shot Learning—0
Integrating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks—0
Experimentally realized memristive memory augmented neural network—0
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified