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 251–275 of 305 papers

TitleStatusHype
One-shot Detail Retouching with Patch Space Neural Transformation BlendingCode0
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identificationCode0
One-shot skill assessment in high-stakes domains with limited data via meta learningCode0
Improving Siamese Networks for One Shot Learning using Kernel Based Activation functionsCode0
Active Use of Latent Constituency Representation in both Humans and Large Language ModelsCode0
SeqNet: Sequential Networks for One-Shot Traffic Sign Recognition With Transfer LearningCode0
One-shot Learning with Absolute GeneralizationCode0
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-LearningCode0
It's DONE: Direct ONE-shot learning with quantile weight imprintingCode0
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot LearningCode0
BAE-NET: Branched Autoencoder for Shape Co-SegmentationCode0
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging DataCode0
Encoding Matching Criteria for Cross-domain Deformable Image RegistrationCode0
One-shot Learning with Memory-Augmented Neural NetworksCode0
Siamese neural networks for one-shot image recognitionCode0
Learning from similarity and information extraction from structured documentsCode0
Learning Spatially-Adaptive Squeeze-Excitation Networks for Image Synthesis and Image RecognitionCode0
Attentive Recurrent ComparatorsCode0
Learning New Tasks from a Few Examples with Soft-Label PrototypesCode0
A Deep One-Shot Network for Query-based Logo RetrievalCode0
What can I do here? Leveraging Deep 3D saliency and geometry for fast and scalable multiple affordance detectionCode0
Unsupervised One-shot Learning of Both Specific Instances and Generalised Classes with a Hippocampal ArchitectureCode0
Learning Symbolic Task Representation from a Human-Led Demonstration: A Memory to Store, Retrieve, Consolidate, and Forget ExperiencesCode0
Learning to learn with backpropagation of Hebbian plasticityCode0
Learning to Remember Rare EventsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified