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
Multi-level Semantic Feature Augmentation for One-shot LearningCode0
MemGEN: Memory is All You Need—0
Assessing Shape Bias Property of Convolutional Neural Networks—0
An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional ClassifierCode0
Generalization in Machine Learning via Analytical Learning TheoryCode0
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-LearningCode0
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters—0
Weakly Supervised One-Shot Detection with Attention Similarity Networks—0
Make SVM great again with Siamese kernel for few-shot learningCode0
VOCABULARY-INFORMED VISUAL FEATURE AUGMENTATION FOR ONE-SHOT LEARNING—0
Max-Margin Invariant Features from Transformed Unlabelled Data—0
MAVOT: Memory-Augmented Video Object Tracking—0
DART: Distribution Aware Retinal Transform for Event-based Cameras—0
Max-Margin Invariant Features from Transformed Unlabeled Data—0
Improving One-Shot Learning through Fusing Side Information—0
Continual One-Shot Learning of Hidden Spike-Patterns with Neural Network Simulation Expansion and STDP Convergence Predictions—0
One-Shot Learning in Discriminative Neural Networks—0
The Complex Negotiation Dialogue Game—0
One-Shot Metric Learning for Person Re-Identification—0
Multi-Attention Network for One Shot Learning—0
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning—0
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study—0
Rotation Invariance Neural Network—0
Toward Optimal Run Racing: Application to Deep Learning Calibration—0
Quadruplet Network with One-Shot Learning for Fast Visual Object Tracking—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified