Attention-based Image Fusion
Attention-Based Image Fusion is an image fusion method that incorporates attention mechanisms to selectively aggregate complementary information from multiple source images by dynamically weighting salient features according to their relevance.
297
Publications
16.3K
Citations
1K
Authors
313
Institutions
Publications per year
2017–2026
291
Parents
297
1–5 of 297
1K
Chongqing University of Posts and Telecommunications, China
6 publications · 342 citations
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6
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4
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4
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1–5 of 1K
313

Chinese Academy of Sciences
Beijing, China
12 h-index
43 publications
2.2K citations
University of Chinese Academy of Sciences
Beijing, China
10 h-index
26 publications
1.8K citations
Wuhan University
Wuhan, China
9 h-index
20 publications
8.6K citations
Chongqing University of Posts and Telecommunications
Chongqing, China
9 h-index
28 publications
1.3K citations

Zhejiang University
Hangzhou, China
8 h-index
22 publications
415 citations

Xidian University
Xi'an, China
8 h-index
21 publications
1.2K citations
Dalian University of Technology
Dalian, China
7 h-index
12 publications
857 citations

Harbin Institute of Technology
Harbin, China
7 h-index
9 publications
363 citations
1–8 of 313
11 publications · 609 citations
14
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11 publications · 585 citations
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11 publications · 318 citations
12
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7 publications · 255 citations
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8 publications · 294 citations
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