RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection

• Main Authors: Rao, Yongming, Liu, Benlin, Wei, Yi, Lu, Jiwen, Hsieh, Cho-Jui, Zhou, Jie
• Format: Journal Article
• Language: English
• Published: 17.08.2021
• Subjects: Computer Science - Artificial Intelligence; Computer Science - Computer Vision and Pattern Recognition; Computer Science - Learning

3D point cloud understanding has made great progress in recent years. However, one major bottleneck is the scarcity of annotated real datasets, especially compared to 2D object detection tasks, since a large amount of labor is involved in annotating the real scans of a scene. A promising solution to...