CFCI-Net: Cross-modality Feature Calibration and Integration Network for RGB-D Semantic Segmentation

	CFCI-Net: Cross-modality Feature Calibration and Integration Network for RGB-D Semantic Segmentation
	Zhou H(周浩)1,3; Yang X(杨旭)1 ; Lu Qi2 ; Haojie Chen 3; Hai Huang 3; Hongde Qin 3
发表期刊	IEEE Transactions on Intelligent Vehicle
	2024-06
页码	1-12
摘要	CFCI-Net: Cross-modality Feature Calibration and Integration Network for RGB-D Semantic Segmentation
七大方向——子方向分类	模式识别基础
国重实验室规划方向分类	环境多维感知
是否有论文关联数据集需要存交	否
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/57554
专题	多模态人工智能系统全国重点实验室_机器人理论与应用
作者单位	1.自动化研究所 2.UC, Merced 3.哈尔滨工程大学
推荐引用方式 GB/T 7714	Zhou H,Yang X,Lu Qi,et al. CFCI-Net: Cross-modality Feature Calibration and Integration Network for RGB-D Semantic Segmentation[J]. IEEE Transactions on Intelligent Vehicle,2024:1-12.
APA	Zhou H,Yang X,Lu Qi,Haojie Chen,Hai Huang,&Hongde Qin.(2024).CFCI-Net: Cross-modality Feature Calibration and Integration Network for RGB-D Semantic Segmentation.IEEE Transactions on Intelligent Vehicle,1-12.
MLA	Zhou H,et al."CFCI-Net: Cross-modality Feature Calibration and Integration Network for RGB-D Semantic Segmentation".IEEE Transactions on Intelligent Vehicle (2024):1-12.