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 51–75 of 305 papers

TitleStatusHype
Federated One-Shot Learning with Data Privacy and Objective-Hiding—0
Continual One-Shot Learning of Hidden Spike-Patterns with Neural Network Simulation Expansion and STDP Convergence Predictions—0
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries—0
Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement—0
AROS: Affordance Recognition with One-Shot Human Stances—0
FIGO: Enhanced Fingerprint Identification Approach Using GAN and One Shot Learning Techniques—0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
Covariance of Motion and Appearance Featuresfor Spatio Temporal Recognition Tasks—0
Generative One-Shot Learning (GOL): A Semi-Parametric Approach to One-Shot Learning in Autonomous Vision—0
DART: Distribution Aware Retinal Transform for Event-based Cameras—0
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI—0
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition—0
Can Humans Do Less-Than-One-Shot Learning?—0
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters—0
Brain-inspired Cognition in Next Generation Racetrack Memories—0
Bias Testing and Mitigation in LLM-based Code Generation—0
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification—0
AFAT: Adaptive Failure-Aware Tracker for Robust Visual Object Tracking—0
Better Together: Resnet-50 accuracy with 13 fewer parameters and at 3 speed—0
An Event based Prediction Suffix Tree—0
Meta-Reinforcement Learning with Self-Modifying Networks—0
Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning—0
Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification—0
Face Verification and Forgery Detection for Ophthalmic Surgery Images—0
Automatic detection of rare pathologies in fundus photographs using few-shot learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified