Thomas Schultz

Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots

Annotated datasets are essential for supervised learning. However, annotating large datasets is a tedious and time-intensive task. This paper addresses active learning in the context of semantic segmentation with the goal of reducing the human labeling effort. Our application is agricultural robotic…