2020
Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots
ICRA 2020poster
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…