Paint and Distill: Boosting 3D Object Detection with Semantic Passing Network

no code implementations • 12 Jul 2022 • Bo Ju, Zhikang Zou, Xiaoqing Ye, Minyue Jiang, Xiao Tan, Errui Ding, Jingdong Wang

In this work, we propose a novel semantic passing framework, named SPNet, to boost the performance of existing lidar-based 3D detection models with the guidance of rich context painting, with no extra computation cost during inference.

3D Object Detection Autonomous Driving +1