We propose HBA-U-Net: a U-Net backbone with hierarchical bottleneck attention to highlight retinal abnormalities that may be important for fovea and optic disc segmentation in the degenerated retina.
Topic: computer vision
Research Projects
U-Net with hierarchical bottleneck attention for landmark detection in fundus images of the degenerated retina
Shuyun Tang, Ziming Qi, Jacob Granley, Michael Beyeler MICCAI OMIA ‘21
Vision-based robust road lane detection in urban environments
This paper presents an integrative approach to ego-lane detection that aims to be as simple as possible to enable real-time computation while being able to adapt to a variety of urban and rural traffic scenarios. The approach at hand combines and extends a road segmentation method in an illumination-invariant color image, lane markings detection …
Michael Beyeler, Florian Mirus, Alexander Verl Proc IEEE ICRA