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 251–300 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
Non-Local Representation based Mutual Affine-Transfer Network for Photorealistic StylizationCode0
Active One-shot LearningCode0
Emulating Brain-like Rapid Learning in Neuromorphic Edge ComputingCode0
The Omniglot challenge: a 3-year progress reportCode0
One Shot Learning for Deformable Medical Image Registration and Periodic Motion TrackingCode0
One-shot recognition of any material anywhere using contrastive learning with physics-based renderingCode0
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian ApproximationCode0
A Novel Embedding Architecture and Score Level Fusion Scheme for Occluded Image Acquisition in Ear Biometrics SystemCode0
A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationshipsCode0
Direct Data-Driven Discounted Infinite Horizon Linear Quadratic Regulator with Robustness GuaranteesCode0
Make SVM great again with Siamese kernel for few-shot learningCode0
Deep Triplet Ranking Networks for One-Shot RecognitionCode0
An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional ClassifierCode0
One-shot Learning for Question-Answering in Gaokao History ChallengeCode0
A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis TreatmentCode0
Image Deformation Meta-Networks for One-Shot LearningCode0
Tab2KG: Semantic Table Interpretation with Lightweight Semantic ProfilesCode0
One-Shot Collaborative Data DistillationCode0
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticityCode0
Take Package as Language: Anomaly Detection Using TransformerCode0
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layersCode0
Variational Prototyping-Encoder: One-Shot Learning with Prototypical ImagesCode0
Meta-Meta Classification for One-Shot LearningCode0
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual RecognitionCode0
Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification SystemsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified