4 papers
Deep Neural Networks Inspired by Differential Equations
Yongshuai Liu, Lianfang Wang, Kuilin Qin +6
Deep learning has become a pivotal technology in fields such as computer vision, scientific computing, and dynamical systems, significantly advancing these disciplines. However, ne…
Contour Field based Elliptical Shape Prior for the Segment Anything Model
Xinyu Zhao, Faqiang Wang, Li Cui +2
The elliptical shape prior information plays a vital role in improving the accuracy of image segmentation for specific tasks in medical and natural images. Existing deep learning-b…
Continuous-tone Simple Points: An -Norm of Cyclic Gradient for Topology-Preserving Data-Driven Image Segmentation
Wenxiao Li, Faqiang Wang, Yuping Duan +3
Topological features play an essential role in ensuring geometric plausibility and structural consistency in image analysis tasks such as segmentation and skeletonization. However,…
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model
Jun Xie, Wenxiao Li, Faqiang Wang +3
Morphological methods play a crucial role in remote sensing image processing, due to their ability to capture and preserve small structural details. However, most of the existing d…