Attention-Guided Pyramid Context Networks for Detecting Infrared Small Target Under Complex Background
University of Electronic Science and Technology of China · University of Copenhagen
Abstract
Infrared small target detection techniques remain a challenging task due to the complex background. To overcome this problem, by exploring context information, this research presents a data-driven approach called attention-guided pyramid context network (AGPCNet). Specifically, we design attention-guided context block and perceive pixel correlations within and between patches at specific scales via local semantic association and global context attention, respectively. Then, the contextual information from multiple scales is fused by context pyramid module to achieve better feature representation. In the upsampling stage, we fuse the low and deep semantics through asymmetric fusion module to retain more…
Citation impact
- FWCI
- 316.69
- Percentile
- 100%
- References
- 41
Authors
5- TZTianfang ZhangCorresponding
University of Electronic Science and Technology of China
- LLLei Li
University of Copenhagen
- SCSiying Cao
University of Electronic Science and Technology of China
- TPTian Pu
University of Electronic Science and Technology of China
- ZPZhenming Peng
University of Electronic Science and Technology of China
Topics & keywords
- Context (archaeology)
- Computer science
- Pyramid (geometry)
- Infrared
- Artificial intelligence
- Computer vision
- Physics
- Optics