MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection

29 January 2024

Papers citing "MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection"

8 / 8 papers shown

Title
Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels Qiming Xia Wenkai Lin Haoen Xiang Xun Huang Siheng Chen Z. Dong Cheng-Yu Wang Chenglu Wen 3DPC OffRL 58 0 0 11 Mar 2025
Learning 3D Perception from Others' Predictions Jinsu Yoo Zhenyang Feng Tai-Yu Pan Yihong Sun Cheng Perng Phoo Xiangyu Chen Mark Campbell Kilian Q. Weinberger Bharath Hariharan Wei-Lun Chao 27 1 0 03 Oct 2024
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training Runsen Xu Tai Wang Wenwei Zhang Runjian Chen Jinkun Cao Jiangmiao Pang Dahua Lin 3DPC 29 28 0 23 Mar 2023
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection Shaoshuai Shi Li Jiang Jiajun Deng Zhe Wang Chaoxu Guo Jianping Shi Xiaogang Wang Hongsheng Li 3DPC 135 400 0 31 Jan 2021
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds Binh Yang Min Bai Ming Liang Wenyuan Zeng R. Urtasun 3DPC 110 42 0 17 Jan 2021
Weakly Supervised 3D Object Detection from Point Clouds Zengyi Qin Jinglu Wang Yan Lu 3DPC 60 62 0 28 Jul 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 128 618 0 21 Jul 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