Feature Fusion
Feature Fusion is a methodological framework in multimedia retrieval that integrates complementary image features extracted from multiple sources or representations into a unified feature space to enhance discriminative power and retrieval accuracy.
6.5K
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372K
Citations
22K
Authors
3.1K
Institutions
Publications per year
2017–2026
5K
6.5K
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan, Ruoming Pang, Quoc V. Le · 2020 · 8.4K citations
Residual Dense Network for Image Super-Resolution
Yulun Zhang, Yapeng Tian, Yu Kong et al. · 2018 · 4.1K citations
Multi-view 3D Object Detection Network for Autonomous Driving
Xiaozhi Chen, Huimin Ma, Ji Wan et al. · 2017 · 3.4K citations
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Chinese Academy of Sciences
Beijing, China
61 h-index
804 publications
47.3K citations
University of Chinese Academy of Sciences
Beijing, China
51 h-index
352 publications
21.2K citations

Xidian University
Xi'an, China
51 h-index
544 publications
31.5K citations

University of Electronic Science and Technology of China
Chengdu, China
49 h-index
326 publications
24.8K citations
Tsinghua University
Beijing, China
48 h-index
276 publications
20.1K citations
Wuhan University
Wuhan, China
46 h-index
366 publications
23.2K citations

Beihang University
Beijing, China
43 h-index
272 publications
16K citations

Zhejiang University
Hangzhou, China
42 h-index
301 publications
17.3K citations
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204 publications · 17.8K citations
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304 publications · 13.5K citations
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104 publications · 14.4K citations
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103 publications · 7K citations
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190 publications · 9.7K citations
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