SCTransNet: Spatial-Channel Cross Transformer Network for Infrared Small Target Detection
Xidian University · The University of Melbourne · +1 more institution
Abstract
Infrared small target detection (IRSTD) has recently benefitted greatly from U-shaped neural models. However, largely overlooking effective global information modeling, existing techniques struggle when the target has high similarities with the background. We present a S patial-channel C ross T ransformer Net work (SCTransNet) that leverages spatial-channel cross transformer blocks (SCTBs) on top of long-range skip connections to address the aforementioned challenge. In the proposed SCTBs, the outputs of all encoders are interacted with cross transformer to generate mixed features, which are redistributed to all decoders to effectively reinforce semantic differences between the target and clutter at full…
Citation impact
- FWCI
- 191.10
- Percentile
- 100%
- References
- 62
Authors
5- SYShuai YuanCorresponding
Xidian University
- HQHanlin Qin
Xidian University
- XYXiang Yan
Xidian University
- NANaveed Akhtar
The University of Melbourne
- AMAjmal Mian
The University of Western Australia
Topics & keywords
- Transformer
- Infrared
- Computer science
- Electrical engineering
- Physics
- Engineering
- Optics
- Voltage
- Reduced inequalities