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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.
More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation
AHAM: Adapt, Help, Ask, Model -- Harvesting LLMs for literature mining
Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
One-Shot Learning as Instruction Data Prospector for Large Language Models
Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task
SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation
An Event based Prediction Suffix Tree
Temporal credit assignment for one-shot learning utilizing a phase transition material
Position and Orientation-Aware One-Shot Learning for Medical Action Recognition from Signal Data
OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI
Bias Testing and Mitigation in LLM-based Code Generation
Towards One-Shot Learning for Text Classification using Inductive Logic Programming
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI
One-shot lip-based biometric authentication: extending behavioral features with authentication phrase information
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data
An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing
One-Shot Learning for Periocular Recognition: Exploring the Effect of Domain Adaptation and Data Bias on Deep Representations
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles
UOD: Universal One-shot Detection of Anatomical Landmarks
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
One-shot Learning for Channel Estimation in Massive MIMO Systems
GPT Self-Supervision for a Better Data Annotator
One shot learning based drivers head movement identification using a millimetre wave radar sensor
Towards Consistent Video Editing with Text-to-Image Diffusion Models
Task Adaptive Feature Transformation for One-Shot Learning
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts
A Novel Embedding Architecture and Score Level Fusion Scheme for Occluded Image Acquisition in Ear Biometrics System
Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images
Tab2KG: Semantic Table Interpretation with Lightweight Semantic Profiles
PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphy
One-shot skill assessment in high-stakes domains with limited data via meta learning
Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification
One-shot recognition of any material anywhere using contrastive learning with physics-based rendering
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