Dividing patients into groups based on how they behave towards their condition can aid understanding of the issues that affect them and improve outcomes, such as quality of life in long-term ...

Abstract: Semantic segmentation is an essential technique in remote sensing. Until recently, most related research has focused primarily on advancing semantic segmentation models based on monomodal ...

Image segmentation plays an important role in vision understanding. Recently, the emerging vision foundation models continuously achieved superior performance on various tasks. Following such success, ...

Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation Xie, Jianxiang and Wu, Yao and Zhang, Yachao and Shi, Zhongchao and Fan, Jianping and Xie, Yuan and ...