CCAFFMNet: Dual-spectral semantic segmentation network with channel-coordinate attention feature fusion module
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CCAFFMNet, using a ResNeXt50 backbone, achieves an mIoU of 58.2 on the MSSSD/MF dataset for RGB + Thermal semantic segmentation.
“| CCAFFMNet [110] | ResNeXt50 [126] | 58.2 |”
From Multimodal semantic segmentation in autonomous driving: A review of current approaches and future perspectives (2022) · cites this paper as [110]
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Rizzoli, G., Barbato, F., & Zanuttigh, P. (2022) · Technologies · doi:10.3390/technologies10040090 · Cited by 58 · see citing works
- Authors
- Yi
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2022-04
- Volume
- 482
- Pages
- 236-251
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W3214829036
- Cited by
- 49
- References
- 35
- Citations by year
- 2026: 3 · 2025: 14 · 2024: 13 · 2023: 10 · 2022: 9
- FWCI
- 2.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Neurocomputing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Physical Sciences › Engineering › Media Technology › Advanced Image Fusion Techniques
- Keywords
- RGB-thermal fusion, feature fusion module, encoder-decoder architecture, skip connections, autonomous driving perception, road scene segmentation
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