Attention fusion network for multi-spectral semantic segmentation
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AFNet, using a ResNet50 backbone, achieves an mIoU of 54.6 on the MSSSD/MF dataset for RGB + Thermal semantic segmentation.
“| AFNet [116] | ResNet50 [16] | 54.6 |”
From Multimodal semantic segmentation in autonomous driving: A review of current approaches and future perspectives (2022) · cites this paper as [116]
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CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation With Transformers
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Complementary Random Masking for RGB-Thermal Semantic Segmentation
Shin, U., Lee, K., Kweon, I. S., & Oh, J. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra57147.2024.10611200 · Cited by 49 · see citing works
“Specifically, they proposed various types of feature fusion modules, such as the na ¨ ıve feature-level fusion [11], [36], [35], multi-scale feature fusion [36], [46], [37], [21], and attention-weighted fusion [44], [46], [8], [21].”
BackgroundMethod
- Authors
- Xu, J., Lu, K., & Wang, H.
- Affiliations
- Tianjin University (CN)
- Corresponding author
- Wang, Han
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 146
- Pages
- 179-184
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W3138511503
- Cited by
- 99
- References
- 29
- Citations by year
- 2026: 10 · 2025: 26 · 2024: 23 · 2023: 27 · 2022: 11 · 2021: 2
- FWCI
- 5.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Pattern Recognition Letters (publishedVersion)
- Funders
- Tianjin Research Program of Application Foundation and Advanced Technology of China
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Engineering › Media Technology › Advanced Image Fusion Techniques
- Physical Sciences › Engineering › Media Technology › Remote-Sensing Image Classification
- Keywords
- attention fusion network, co-attention, RGB-IR fusion, infrared images, feature fusion, spatial correlation
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