Multi-Sensor Data Annotation Using Sequence-based Active Learning

Patrick Denzler,Markus Ziegler,Arne Jacobs,Volker Eiselein,Philipp Neumaier,Martin Köppel,Patrick Denzler,Markus Ziegler,Arne Jacobs,Volker Eiselein,Philipp Neumaier,Martin Köppel

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 learning is a promising approach to reduce the required amount of training data by selecting samples...