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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.
An Overview of Deep Learning Architectures in Few-Shot Learning Domain
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification
Sorted Pooling in Convolutional Networks for One-shot Learning
One-Shot Learning for Language Modelling
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching
Learning to Segment Anatomical Structures Accurately from One Exemplar
Anatomical Data Augmentation via Fluid-based Image Registration
Leveraging Siamese Networks for One-Shot Intrusion Detection Model
Efficient implementations of echo state network cross-validation
Adjoined Networks: A Training Paradigm with Applications to Network Compression
AFAT: Adaptive Failure-Aware Tracker for Robust Visual Object Tracking
Physics-based polynomial neural networks for one-shot learning of dynamical systems from one or a few samples
One-Shot Recognition of Manufacturing Defects in Steel Surfaces
One-Shot Image Classification by Learning to Restore Prototypes
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory
Meta-Meta Classification for One-Shot Learning
Typilus: Neural Type Hints
One-Shot GAN Generated Fake Face Detection
Compositional Embeddings for Multi-Label One-Shot Learning
Uncertainty-based Modulation for Lifelong Learning
A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium
User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant
Learning similarity measures from data
RC-DARTS: Resource Constrained Differentiable Architecture Search
Few-Shot Knowledge Graph Completion
Verbal Programming of Robot Behavior
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
One-shot learning and behavioral eligibility traces in sequential decision making
Improving Siamese Networks for One Shot Learning using Kernel Based Activation functions
Generative One-Shot Face Recognition
Multimodal Continuation-style Architectures for Human-Robot Interaction
Ludwig: a type-based declarative deep learning toolbox
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances
Augmented Memory Networks for Streaming-Based Active One-Shot Learning
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