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

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Showing 221–230 of 305 papers

TitleStatusHype
One shot learning based drivers head movement identification using a millimetre wave radar sensor—0
One-shot learning by inverting a compositional causal process—0
One-shot learning for acoustic identification of bird species in non-stationary environments—0
One-shot Learning for Autonomous Aerial Manipulation—0
One-shot Learning for Channel Estimation in Massive MIMO Systems—0
One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing—0
One-Shot Learning for k-SAT—0
One-Shot Learning for Periocular Recognition: Exploring the Effect of Domain Adaptation and Data Bias on Deep Representations—0
One-shot learning for solution operators of partial differential equations—0
One-shot Learning for Temporal Knowledge Graphs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified