The KITTI Vision Benchmark Suite

We introduce a brain-inspired 3D object detection
framework, which mimics the functionality of the
human brain when proceeding object perception and
fundamentally boosts the performance of the 3D
object detector. In addition, given a 3D object
detection method, our approach enhances its
feature extraction ability during the training
process without introducing any extra component
in inference stage, which makes our framework is
easy to integrate into many 3D object detection
methods.

TBD

@InProceedings{Du_2020_CVPR,
author = {Du, Liang and Ye, Xiaoqing and Tan, Xiao
and Feng, Jianfeng and Xu, Zhenbo and Ding, Errui
and Wen, Shilei},
title = {Associate-3Ddet: Perceptual-to-Conceptual
Association for 3D Point Cloud Object Detection},
booktitle = {The IEEE/CVF Conference on Computer
Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}