Multimodal Detection Fusion
Multimodal Detection Fusion is a late fusion strategy that integrates detection outputs from multiple sensory modalities to produce a unified interpretation, distinguished by its reliance on modality-specific detectors combined only after individual decision-making processes.
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2.6K
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162
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55
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2017–2026
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Jinyuan Liu, Xin Fan, Zhanbo Huang et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 969 citations
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Imperial College London
London, United Kingdom
3 h-index
5 publications
143 citations

Chongqing University
Chongqing, China
2 h-index
6 publications
210 citations
Tsinghua University
Beijing, China
2 h-index
4 publications
200 citations

Central South University
Changsha, China
2 h-index
3 publications
53 citations

Universitat Autònoma de Barcelona
Cerdanyola del Vallès, Spain
2 h-index
7 publications
717 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
7 publications
540 citations
Honeywell (United States)
Charlotte, United States
1 h-index
1 publications
11 citations

Florida Institute of Technology
Melbourne, United States
1 h-index
4 publications
144 citations
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2 publications · 78 citations
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1 publications · 54 citations
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1 publications · 23 citations
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1 publications · 24 citations
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Conference · 1 publications · 63 citations
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