69 citations · 146 across the 27 of their papers we have counts for
4 papers · 1 filter
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation
Constantin Seibold, Simon Reiß, Jens Kleesiek +1
Producing densely annotated data is a difficult and tedious task for medical imaging applications. To address this problem, we propose a novel approach to generate supervision for…
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games
Alina Roitberg, David Schneider, Aulia Djamal +3
Recognizing Activities of Daily Living (ADL) is a vital process for intelligent assistive robots, but collecting large annotated datasets requires time-consuming temporal labeling…
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Simon Reiß, Constantin Seibold, Alexander Freytag +2
Pixel-wise segmentation is one of the most data and annotation hungry tasks in our field. Providing representative and accurate annotations is often mission-critical especially for…
Capturing Omni-Range Context for Omnidirectional Segmentation
Kailun Yang, Jiaming Zhang, Simon Reiß +2
Convolutional Networks (ConvNets) excel at semantic segmentation and have become a vital component for perception in autonomous driving. Enabling an all-encompassing view of street…