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Document type:
Konferenzbeitrag 
Author(s):
Sebstian Schmidt, Julian Tatsch, Qing Rao, Alois Knoll 
Title:
Advanced Active Learning Strategies for Object Detection 
Abstract:
Future self-driving cars must be able to perceive and understand their surroundings. Deep learning based approaches promise to solve the perception problem but require a large amount of manually labeled training data. Active learning is a training procedure during which the model itself selects interesting samples for labeling based on their Uncertainty, with substantially less data required for training. Recent research in active learning is mostly focused on the simple image classification tas...    »
 
Keywords:
Active Learning, Object Detection 
Book / Congress title:
2020 IEEE Intelligent Vehicles Symposium (IV) 
Congress (additional information):
June 23-26, 2020, Las Vegas, NV, USA 
Date of congress:
June 23-26, 2020 
Year:
2020 
Year / month:
2020-06 
Month:
Jun