FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation

1 code implementation • ICCV 2023 • Tianyi Shi, Xiaohuan Ding, Liang Zhang, Xin Yang

Curvilinear object segmentation is critical for many applications.

Domain Adaptation Self-Supervised Learning +1

Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation

1 code implementation • 12 Nov 2022 • Tianyi Shi, Xiaohuan Ding, Wei Zhou, Feng Pan, Zengqiang Yan, Xiang Bai, Xin Yang

Vessel segmentation is crucial in many medical image applications, such as detecting coronary stenoses, retinal vessel diseases and brain aneurysms.

Learning Green's functions associated with time-dependent partial differential equations

no code implementations • 27 Apr 2022 • Nicolas Boullé, Seick Kim, Tianyi Shi, Alex Townsend

Neural operators are a popular technique in scientific machine learning to learn a mathematical model of the behavior of unknown physical systems from data.

Local Intensity Order Transformation for Robust Curvilinear Object Segmentation

1 code implementation • 25 Feb 2022 • Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud

This results in a representation that preserves the inherent characteristic of the curvilinear structure while being robust to contrast changes.

Crack Segmentation Object +1