Focal Loss in 3D Object Detection

3D object detection is still an open problem in autonomous driving scenes. When recognizing and localizing key objects from sparse 3D inputs, autonomous vehicles suffer from a larger continuous searching space and higher fore-background imbalance compared to image-based object detection. In this let...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE robotics and automation letters Jg. 4; H. 2; S. 1263 - 1270
Hauptverfasser:	Yun, Peng, Tai, Lei, Wang, Yuan, Liu, Chengju, Liu, Ming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.04.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Cameras Convolution Deep Learning in Robotics and Automation Detectors Entropy Feature extraction Image detection Meteorological satellites Object detection Object recognition Recognition Segmentation and Categorization Three-dimensional displays Two dimensional displays
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!