Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving
Naifan Li,Fan Song,Ying Zhang,Pengpeng Liang,Erkang Cheng,Naifan Li,Fan Song,Ying Zhang,Pengpeng Liang,Erkang Cheng
Detection of rare objects (e.g., traffic cones, traffic barrels and traffic warning triangles) is an important perception task to improve the safety of autonomous driving. Training of such models typically requires a large number of annotated data which is expensive and time consuming to obtain. To address the above problem, an emerging approach is to apply data augmentation to automatically gener...
