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 26–50 of 305 papers

TitleStatusHype
Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksCode1
Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel NoisesCode1
Echo-SyncNet: Self-supervised Cardiac View Synchronization in EchocardiographyCode1
Efficient Cross-Validation of Echo State NetworksCode1
An In-Depth Evaluation of Federated Learning on Biomedical Natural Language ProcessingCode1
One-Shot Learning for Pose-Guided Person Image Synthesis in the WildCode1
Dynamic Few-Shot Visual Learning without ForgettingCode1
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese NetworkCode1
UOD: Universal One-shot Detection of Anatomical LandmarksCode1
One Line To Rule Them All: Generating LO-Shot Soft-Label PrototypesCode1
Learning from similarity and information extraction from structured documentsCode0
Learning Spatially-Adaptive Squeeze-Excitation Networks for Image Synthesis and Image RecognitionCode0
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot LearningCode0
One-Shot Collaborative Data DistillationCode0
Learning New Tasks from a Few Examples with Soft-Label PrototypesCode0
Active Use of Latent Constituency Representation in both Humans and Large Language ModelsCode0
A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationshipsCode0
Improving Siamese Networks for One Shot Learning using Kernel Based Activation functionsCode0
Supervised Learning without Backpropagation using Spike-Timing-Dependent Plasticity for Image RecognitionCode0
A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract ReasoningCode0
A Novel Embedding Architecture and Score Level Fusion Scheme for Occluded Image Acquisition in Ear Biometrics SystemCode0
Generalization in Machine Learning via Analytical Learning TheoryCode0
It's DONE: Direct ONE-shot learning with quantile weight imprintingCode0
Learning Symbolic Task Representation from a Human-Led Demonstration: A Memory to Store, Retrieve, Consolidate, and Forget ExperiencesCode0
Encoding Matching Criteria for Cross-domain Deformable Image RegistrationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified