no code implementations • 23 Sep 2024 • Yan Xing, Qi'ao Xu, Jingcheng Zeng, Rui Huang, Sihua Gao, Weifeng Xu, Yuxiang Zhang, Wei Fan
Semi-supervised change detection (SSCD) utilizes partially labeled data and a large amount of unlabeled data to detect changes.
no code implementations • 5 Aug 2024 • Weifeng Xu, Xiang Zhu, Xiaoyong Li
The conditional diffusion model (CDM) enhances the standard diffusion model by providing more control, improving the quality and relevance of the outputs, and making the model adaptable to a wider range of complex tasks.
no code implementations • 22 Jan 2024 • Rui Huang, Qingyi Zhao, Yan Xing, Sihua Gao, Weifeng Xu, Yuxiang Zhang, Wei Fan
SEFF utilizes saliency maps of the neighboring scales to enhance the necessary features for fusing, resulting in more representative fused features.
no code implementations • 16 Sep 2022 • Xinlin Leng, Chenxu Li, Weifeng Xu, Yuyan Sun, Hongtao Wang
We show that the FCD scheme fills the gap of multiparty secure Coordinate Descent methods and is applicable for general linear regressions, including linear, ridge and lasso regressions.