Document
检索banner
高级检索 在检索结果中检索
全部字段 题名 作者 关键词 摘要

MFST: Multi-Modal Feature Self-Adaptive Transformer for Infrared and Visible Image Fusion

  • 【作者】Xiangzeng Liu,Haojie Gao,Qiguang Miao,Yue Xi,Yunfeng Ai,Dingguo Gao
  • 【作者单位】1School of Computer Science and Technology, Xidian University, Xi’an 710071, China;2Guangzhou Institute of Technology, Xidian University, Xi’an 510555, China;3School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China;4School of Information of Science and Technology, Tibet University, Lhasa 850000, China
  • 【年份】2022
  • 【卷号】Vol.14
  • 【页码】3233
  • 【关键词】infrared image visible image transformer image fusion multi-modal feature focal self-attention 
  • 【摘要】 Infrared and visible image fusion is to combine the information of thermal radiation and detailed texture from the two images into one informative fused image. Recently, deep learning methods have been widely applied in this task; however, those meth...
  • 【文献类型】 期刊
进入发现系统查看更多信息
相同单位的文献

引证的期刊论文等列表

共1条记录 1/1 第一页 [1] 下一页 最后一页 到第
页脚