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

Rasha Sheikh
Rasha Sheikh
Philipp Lottes
Philipp Lottes
Thomas Schultz
Thomas Schultz

ICRA, pp. 1350-1356, 2020.

Cited by: 2|Views7
EI

Abstract:

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 robotics and we focus on the task of distinguis...More

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