Semi-supervised Scene Classification
Semi-Supervised Scene Classification is a scene classification paradigm that integrates a small set of labeled scene images with a large collection of unlabeled scene images to improve classification accuracy by leveraging both supervised and unsupervised learning mechanisms.
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1.4K
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122
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2017–2026
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Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly et al. · arXiv (Cornell University) · 2015 · 315 citations · Full text
Adaptive collaborative fusion for multi-view semi-supervised classification
Bingbing Jiang, Chenglong Zhang, Yan Zhong et al. · Information Fusion · 2023 · 62 citations
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Tongji University
Shanghai, China
2 h-index
3 publications
38 citations

Northwestern Polytechnical University
Xi'an, China
2 h-index
4 publications
171 citations

Beijing Normal University
Beijing, China
2 h-index
9 publications
98 citations
Wuhan University
Wuhan, China
1 h-index
4 publications
168 citations

Technische Universität Ilmenau
Ilmenau, Germany
1 h-index
1 publications
26 citations
Université Paris-Saclay
Gif-sur-Yvette, France
1 h-index
1 publications
13 citations
State Key Laboratory of Remote Sensing Science
Beijing, China
1 h-index
5 publications
50 citations
Technische Universität Berlin
Berlin, Germany
1 h-index
1 publications
13 citations
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4 publications · 97 citations
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2 publications · 53 citations
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2 publications · 59 citations
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2 publications · 94 citations
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2 publications · 76 citations
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