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One-Shot Learning
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One-shot learning is the task of learning information about object categories from a single training example.
<span style="color:grey; opacity: 0.6">( Image credit: Siamese Neural Networks for One-shot Image Recognition )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationships
AROS: Affordance Recognition with One-Shot Human Stances
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition
BaseTransformers: Attention over base data-points for One Shot Learning
One-shot Detail Retouching with Patch Space Neural Transformation Blending
One-Shot Learning of Stochastic Differential Equations with Data Adapted Kernels
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition
Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification
FETA: Towards Specializing Foundation Models for Expert Task Applications
Towards Robust Drone Vision in the Wild
Integrating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks
FIGO: Enhanced Fingerprint Identification Approach Using GAN and One Shot Learning Techniques
Rapid Learning of Spatial Representations for Goal-Directed Navigation Based on a Novel Model of Hippocampal Place Fields
One-shot Learning for Autonomous Aerial Manipulation
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity
Sleep Posture One-Shot Learning Framework Using Kinematic Data Augmentation: In-Silico and In-Vivo Case Studies
It's DONE: Direct ONE-shot learning with quantile weight imprinting
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition
Experimentally realized memristive memory augmented neural network
One-Shot Learning from a Demonstration with Hierarchical Latent Language
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input
Can Humans Do Less-Than-One-Shot Learning?
Meta-Reinforcement Learning with Self-Modifying Networks
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning
One-Shot Learning on Attributed Sequences
Learning Spatially-Adaptive Squeeze-Excitation Networks for Image Synthesis and Image Recognition
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking
Differentiable Wavetable Synthesis
Brain-inspired Cognition in Next Generation Racetrack Memories
EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learning
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation
OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models
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