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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 Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
Non-Local Representation based Mutual Affine-Transfer Network for Photorealistic Stylization
Automatic detection of rare pathologies in fundus photographs using few-shot learning
One Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking
HalalNet: A Deep Neural Network that Classifies the Halalness Slaughtered Chicken from their Images
A Hippocampus Model for Online One-Shot Storage of Pattern Sequences
Image Deformation Meta-Networks for One-Shot Learning
What Can ResNet Learn Efficiently, Going Beyond Kernels?
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
One-Shot Learning for Text-to-SQL Generation
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
Similarity Learning Networks for Animal Individual Re-Identification -- Beyond the Capabilities of a Human Observer
The Omniglot challenge: a 3-year progress report
Towards Learning to Imitate from a Single Video Demonstration
Generative One-Shot Learning (GOL): A Semi-Parametric Approach to One-Shot Learning in Autonomous Vision
TET-GAN: Text Effects Transfer via Stylization and Destylization
What can I do here? Leveraging Deep 3D saliency and geometry for fast and scalable multiple affordance detection
That's Mine! Learning Ownership Relations and Norms for Robots
One-Shot Instance Segmentation
Unsupervised Meta-Learning For Few-Shot Image Classification
Tackling Early Sparse Gradients in Softmax Activation Using Leaky Squared Euclidean Distance
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks
Face Verification and Forgery Detection for Ophthalmic Surgery Images
Multimodal One-Shot Learning of Speech and Images
A Deep One-Shot Network for Query-based Logo Retrieval
O2A: One-shot Observational learning with Action vectors
Towards one-shot learning for rare-word translation with external experts
One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning
Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems
Object Relation Detection Based on One-shot Learning
Metalearning with Hebbian Fast Weights
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