Late Fusion
Late Fusion is a sensor fusion methodology in which individual sensors are processed independently to produce separate decisions or predictions, and the integration of these results occurs at a final decision-level stage to form a consolidated output.
424
Publications
29.8K
Citations
1.4K
Authors
519
Institutions
Publications per year
2017–2026
219
424
An introduction to multisensor data fusion
David L. Hall, James Llinas · Proceedings of the IEEE · 1997 · 2.5K citations
Image Fusion With Guided Filtering
Shutao Li, Xudong Kang, Jianwen Hu · IEEE Transactions on Image Processing · 2013 · 1.8K citations
Multi-focus image fusion with a deep convolutional neural network
Yü Liu, Xun Chen, Hu Peng et al. · Information Fusion · 2016 · 1.3K citations
Early versus late fusion in semantic video analysis
Cees G. M. Snoek, Marcel Worring, A.W.M. Smeulders · 2005 · 857 citations · Full text
Image fusion meets deep learning: A survey and perspective
Hao Zhang, Han Xu, Xin Tian et al. · Information Fusion · 2021 · 762 citations
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519

Chinese Academy of Sciences
Beijing, China
12 h-index
33 publications
1.3K citations
University of Science and Technology of China
Hefei, China
10 h-index
17 publications
4.4K citations

National University of Defense Technology
Changsha, China
9 h-index
46 publications
2.7K citations

United States Air Force Research Laboratory
Wright-Patterson AFB, United States
9 h-index
17 publications
747 citations
Tsinghua University
Beijing, China
7 h-index
20 publications
3K citations

Hefei University of Technology
Hefei, China
6 h-index
16 publications
7.8K citations
Daimler (Germany)
Stuttgart, Germany
6 h-index
9 publications
355 citations

Harbin Institute of Technology
Harbin, China
6 h-index
7 publications
1.8K citations
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23 publications · 5.3K citations
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18 publications · 495 citations
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9 publications · 353 citations
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9 publications · 769 citations
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Repository · 8 publications · 418 citations
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