MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

CVPR 2020 Qian XieYu-Kun LaiJing WuZhoutao WangYiming ZhangKai XuJun Wang

In this paper, we address the 3D object detection task by capturing multi-level contextual information with the self-attention mechanism and multi-scale feature fusion. Most existing 3D object detection methods recognize objects individually, without giving any consideration on contextual information between these objects... (read more)

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