StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D
Object Detection

StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection

4 January 2023

Xiaoqing Ye

Xiao Tan

Errui Ding

Papers citing "StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection"

7 / 7 papers shown

Title
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving Maciej K. Wozniak Hariprasath Govindarajan Marvin Klingner Camille Maurice B Ravi Kiran S. Yogamani 3DPC 43 1 0 30 Oct 2024
Towards Efficient 3D Object Detection with Knowledge Distillation Jihan Yang Shaoshuai Shi Runyu Ding Zhe Wang Xiaojuan Qi 91 37 0 30 May 2022
MonoDistill: Learning Spatial Features for Monocular 3D Object Detection Zhiyu Chong Xinzhu Ma Hong Zhang Yuxin Yue Haojie Li Zhihui Wang Wanli Ouyang 3DPC 75 96 0 26 Jan 2022
Distilling Knowledge via Knowledge Review Pengguang Chen Shu-Lin Liu Hengshuang Zhao Jiaya Jia 144 308 0 19 Apr 2021
Localization Distillation for Dense Object Detection Zhaohui Zheng Rongguang Ye Ping Wang Dongwei Ren W. Zuo Qibin Hou Ming-Ming Cheng ObjD 78 111 0 24 Feb 2021
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection Jiajun Deng Shaoshuai Shi Pei-Cian Li Wen-gang Zhou Yanyong Zhang Houqiang Li 3DPC 216 660 0 31 Dec 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016