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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.
One-shot learning of paired association navigation with biologically plausible schemas
One-shot Learning with Absolute Generalization
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing
One-shot learning for acoustic identification of bird species in non-stationary environments
Updatable Siamese Tracker with Two-stage One-shot Learning
Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence
Demystification of Few-shot and One-shot Learning
Unsupervised Hyperspectral Stimulated Raman Microscopy Image Enhancement: Denoising and Segmentation via One-Shot Deep Learning
One-shot learning for solution operators of partial differential equations
Detecting Hate Speech with GPT-3
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing
For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash Functions
Harnessing Geometric Constraints from Emotion Labels to improve Face Verification
One-shot learning for the long term: consolidation with an artificial hippocampal algorithm
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries
Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography
Unsupervised Noisy Tracklet Person Re-identification
One-Shot Learning with Triplet Loss for Vegetation Classification Tasks
Robust One Shot Audio to Video Generation
Contour Transformer Network for One-shot Segmentation of Anatomical Structures
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition
Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model
Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code
Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming
One-Shot Federated Learning with Neuromorphic Processors
Unsupervised One-shot Learning of Both Specific Instances and Generalised Classes with a Hippocampal Architecture
One-shot Learning for Temporal Knowledge Graphs
Learning from similarity and information extraction from structured documents
Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement
One-Shot learning based classification for segregation of plastic waste
Distilled One-Shot Federated Learning
'Less Than One'-Shot Learning: Learning N Classes From M<N Samples
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations
One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction
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