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Refinado por: assunto: Engineering remover assunto: Image Classification remover
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Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification
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Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification

Deng, Cheng ; Xue, Yumeng ; Liu, Xianglong ; Li, Chao ; Tao, Dacheng

IEEE transactions on geoscience and remote sensing, 2019-03, Vol.57 (3), p.1741-1754 [Periódico revisado por pares]

New York: IEEE

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2
Similarity-Based Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval
Similarity-Based Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval
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Similarity-Based Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval

Liu, Yishu ; Ding, Liwang ; Chen, Conghui ; Liu, Yingbin

IEEE transactions on geoscience and remote sensing, 2020-11, Vol.58 (11), p.7872-7889 [Periódico revisado por pares]

New York: IEEE

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3
Deep Subdomain Adaptation Network for Image Classification
Deep Subdomain Adaptation Network for Image Classification
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Deep Subdomain Adaptation Network for Image Classification

Zhu, Yongchun ; Zhuang, Fuzhen ; Wang, Jindong ; Ke, Guolin ; Chen, Jingwu ; Bian, Jiang ; Xiong, Hui ; He, Qing

IEEE transaction on neural networks and learning systems, 2021-04, Vol.32 (4), p.1713-1722

United States: IEEE

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4
A Survey on Contrastive Self-Supervised Learning
A Survey on Contrastive Self-Supervised Learning
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A Survey on Contrastive Self-Supervised Learning

Jaiswal, Ashish ; Babu, Ashwin Ramesh ; Zadeh, Mohammad Zaki ; Banerjee, Debapriya ; Makedon, Fillia

Technologies (Basel), 2021-03, Vol.9 (1), p.2 [Periódico revisado por pares]

Basel: MDPI AG

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5
A MultiKernel Domain Adaptation Method for Unsupervised Transfer Learning on Cross-Source and Cross-Region Remote Sensing Data Classification
A MultiKernel Domain Adaptation Method for Unsupervised Transfer Learning on Cross-Source and Cross-Region Remote Sensing Data Classification
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A MultiKernel Domain Adaptation Method for Unsupervised Transfer Learning on Cross-Source and Cross-Region Remote Sensing Data Classification

Liu, Wei ; Qin, Rongjun

IEEE transactions on geoscience and remote sensing, 2020-06, Vol.58 (6), p.4279-4289 [Periódico revisado por pares]

New York: IEEE

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6
Adaptive graph modeling with self-training for heterogeneous cross-scene hyperspectral image classification
Adaptive graph modeling with self-training for heterogeneous cross-scene hyperspectral image classification
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Adaptive graph modeling with self-training for heterogeneous cross-scene hyperspectral image classification

Ye, Minchao ; Chen, Junbin ; Xiong, Fengchao ; Qian, Yuntao

IEEE transactions on geoscience and remote sensing, 2024-01, Vol.62, p.1-1 [Periódico revisado por pares]

New York: IEEE

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7
ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification
ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification
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ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification

Su, Yuanchao ; Chen, Jiangyi ; Gao, Lianru ; Plaza, Antonio ; Jiang, Mengying ; Xu, Xiang ; Sun, Xu ; Li, Pengfei

IEEE transactions on geoscience and remote sensing, 2023-01, Vol.61, p.1-1 [Periódico revisado por pares]

New York: IEEE

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8
Multisource Heterogeneous Transfer Learning via Feature Augmentation for Ship Classification in SAR Imagery
Multisource Heterogeneous Transfer Learning via Feature Augmentation for Ship Classification in SAR Imagery
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Multisource Heterogeneous Transfer Learning via Feature Augmentation for Ship Classification in SAR Imagery

Lang, Haitao ; Yang, Guang’an ; Li, Chunnan ; Xu, Jianwen

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-14 [Periódico revisado por pares]

New York: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)

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9
Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks
Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks
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Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks

Xu, Gaowei ; Liu, Min ; Jiang, Zhuofu ; Shen, Weiming ; Huang, Chenxi

IEEE transactions on instrumentation and measurement, 2020-02, Vol.69 (2), p.509-520 [Periódico revisado por pares]

New York: IEEE

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10
Transfer Learning for Visual Categorization: A Survey
Transfer Learning for Visual Categorization: A Survey
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Transfer Learning for Visual Categorization: A Survey

Shao, Ling ; Zhu, Fan ; Li, Xuelong

IEEE transaction on neural networks and learning systems, 2015-05, Vol.26 (5), p.1019-1034

United States: IEEE

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