Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving

Closed-set 3D perception models trained on only a pre-defined set of object categories can be inadequate for safety critical applications such as autonomous driving where new object types can be encountered after deployment. In this paper, we present a multi-modal auto labeling pipeline capable of g...

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Bibliographische Detailangaben

Hauptverfasser:	Najibi, Mahyar, Ji, Jingwei, Zhou, Yin, Qi, Charles R, Yan, Xinchen, Ettinger, Scott, Anguelov, Dragomir
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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