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Multi-Sensor Data Annotation Using Sequence-based Active Learning

Published in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • Oct 23, 2022
NobleIDNI7P59W49R58S19
Authors:
Patrick Denzler
,
Markus Ziegler
,
Arne Jacobs

Abstract

Neural Networks are the state-of-the-art technology for environmental perception in applications such as autonomous driving. However, they require a large amount of training data in order to perform well, making the selection and annotation of sensor data a time-consuming and expensive task. Active ...

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