Gated Fusion
Gated Fusion is a feature-level fusion method that selectively integrates multimodal features through learnable gating mechanisms to dynamically weight the contribution of each modality based on contextual relevance.
67
Publications
3.7K
Citations
280
Authors
102
Institutions
Publications per year
2017–2026
67
Parents
67
Cross-Modal Self-Attention Network for Referring Image Segmentation
Linwei Ye, Mrigank Rochan, Zhi Liu et al. · 2019 · 512 citations
Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation
Yanhua Cheng, Rui Cai, Zhiwei Li et al. · 2017 · 245 citations
Hamidreza Hosseinpour, Farhad Samadzadegan, Farzaneh Dadrass Javan · ISPRS Journal of Photogrammetry and Remote Sensing · 2021 · 199 citations · Full text
Controllable Video Captioning With POS Sequence Guidance Based on Gated Fusion Network
Bairui Wang, Lin Ma, Wei Zhang et al. · 2019 · 193 citations
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102

Chinese Academy of Sciences
Beijing, China
6 h-index
18 publications
935 citations
Aerospace Information Research Institute
Beijing, China
4 h-index
13 publications
676 citations

Beihang University
Beijing, China
4 h-index
12 publications
431 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
10 publications
1.1K citations
Tsinghua University
Beijing, China
3 h-index
9 publications
240 citations
Tencent (China)
Shenzhen, China
3 h-index
8 publications
853 citations

University of Electronic Science and Technology of China
Chengdu, China
3 h-index
14 publications
318 citations

Southwest Jiaotong University
Chengdu, China
2 h-index
6 publications
177 citations
1–8 of 102
Repository · 7 publications · 184 citations
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Conference · 5 publications · 371 citations
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JAG · 3 publications · 147 citations
3
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2 publications · 46 citations
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2 publications · 61 citations
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