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Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-14

2024

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Few-Shot Class-Incremental Learning With Adjustable Pseudo-Incremental Sessions for Bearing Fault Diagnosis

IEEE sensors journal, 2024-06, Vol.24 (12), p.19543-19552

2024

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Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation

Medical physics (Lancaster), 2021-03, Vol.48 (3), p.1197-1210

2021

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Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning

International journal of computer vision, 2021-06, Vol.129 (6), p.1930-1953

2021

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Dual-View Data Hallucination With Semantic Relation Guidance for Few-Shot Image Recognition

IEEE transactions on multimedia, 2024-08, p.1-14

2024

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Meta‐learning shows great potential in plant disease recognition under few available samples

The Plant journal : for cell and molecular biology, 2023-05, Vol.114 (4), p.767-782

2023

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Reallocating and Evolving General Knowledge for Few-shot Learning

IEEE transactions on circuits and systems for video technology, 2024-08, p.1-1

2024

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Cross-domain few-shot learning via adaptive transformer networks

Knowledge-based systems, 2024-03, Vol.288, p.111458, Article 111458

2024

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Few-shot Hyperspectral Image Classification with Self-supervised Learning

IEEE transactions on geoscience and remote sensing, 2023-01, Vol.61, p.1-1

2023

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GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning

IEEE transactions on circuits and systems for video technology, 2022-12, Vol.32 (12), p.8674-8687

2022

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Trustworthy Generative Few-Shot Learning Based Intrusion Detection Method in Internet of Things

IEEE transactions on consumer electronics, 2024-10, p.1-1

2024

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Enhancing Few-Shot Out-of-Distribution Detection with Pre-Trained Model Features

IEEE transactions on image processing, 2024-10, Vol.PP, p.1-1

2024

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A review of self‐supervised, generative, and few‐shot deep learning methods for data‐limited magnetic resonance imaging segmentation

NMR in biomedicine, 2024-08, Vol.37 (8), p.e5143-n/a

2024

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Meta-Learning without Data via Unconditional Diffusion Models

IEEE transactions on circuits and systems for video technology, 2024-07, p.1-1

2024

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SelfNet: A semi-supervised local Fisher discriminant network for few-shot learning

Neurocomputing (Amsterdam), 2022-11, Vol.512, p.352-362

2022

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Perspectives of Calibrated Adaptation for Few-shot Cross-domain Classification

IEEE transactions on circuits and systems for video technology, 2024-10, p.1-1

2024

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Quantum Few-Shot Image Classification

IEEE transactions on cybernetics, 2024-10, Vol.PP, p.1-13

2024

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Negatives Make A Positive: An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning

IEEE transactions on pattern analysis and machine intelligence, 2024-04, Vol.46 (4), p.1-14

2024

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Cross-Domain PolSAR Image Classification Using Complex-Valued Few-Shot Learning Network

IEEE transactions on aerospace and electronic systems, 2024-09, p.1-16

2024

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Radar target recognition based on few-shot learning

Multimedia systems, 2023-10, Vol.29 (5), p.2865-2875

2023

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Few-Shot Object Detection in Aerial Imagery Guided by Text-Modal Knowledge

IEEE transactions on geoscience and remote sensing, 2023-01, Vol.61, p.1-1

2023

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Wavelet-Prototypical Network Based on Fusion of Time and Frequency Domain for Fault Diagnosis

Sensors (Basel, Switzerland), 2021-02, Vol.21 (4), p.1483

2021

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New classes inference, few‐shot learning and continual learning for radar signal recognition

IET radar, sonar & navigation, 2022-10, Vol.16 (10), p.1641-1655

2022

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Well Log Generation via Ensemble Long Short‐Term Memory (EnLSTM) Network

Geophysical research letters, 2020-12, Vol.47 (23), p.n/a

2020

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CTF-SSCL: CNN-Transformer for Few-Shot Hyperspectral Image Classification Assisted by Semisupervised Contrastive Learning

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-17

2024

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Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification

Few-Shot Class-Incremental Learning With Adjustable Pseudo-Incremental Sessions for Bearing Fault Diagnosis

Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation

Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning

Dual-View Data Hallucination With Semantic Relation Guidance for Few-Shot Image Recognition

Meta‐learning shows great potential in plant disease recognition under few available samples

Reallocating and Evolving General Knowledge for Few-shot Learning

Cross-domain few-shot learning via adaptive transformer networks

Few-shot Hyperspectral Image Classification with Self-supervised Learning

GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning

Trustworthy Generative Few-Shot Learning Based Intrusion Detection Method in Internet of Things

Enhancing Few-Shot Out-of-Distribution Detection with Pre-Trained Model Features

A review of self‐supervised, generative, and few‐shot deep learning methods for data‐limited magnetic resonance imaging segmentation

Meta-Learning without Data via Unconditional Diffusion Models

SelfNet: A semi-supervised local Fisher discriminant network for few-shot learning

Perspectives of Calibrated Adaptation for Few-shot Cross-domain Classification

Quantum Few-Shot Image Classification

Negatives Make A Positive: An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning

Cross-Domain PolSAR Image Classification Using Complex-Valued Few-Shot Learning Network

Radar target recognition based on few-shot learning

Few-Shot Object Detection in Aerial Imagery Guided by Text-Modal Knowledge

Wavelet-Prototypical Network Based on Fusion of Time and Frequency Domain for Fault Diagnosis

New classes inference, few‐shot learning and continual learning for radar signal recognition

Well Log Generation via Ensemble Long Short‐Term Memory (EnLSTM) Network

CTF-SSCL: CNN-Transformer for Few-Shot Hyperspectral Image Classification Assisted by Semisupervised Contrastive Learning

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