Are Dense Labels Always Necessary for 3D Object Detection from Point
Cloud?

Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud?

5 March 2024

Chenqiang Gao

Fangcen Liu

Xinbo Gao

Deyu Meng

Papers citing "Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud?"

9 / 9 papers shown

Title
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 70 5 0 13 Mar 2024
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 139 407 0 31 Jan 2021
Curriculum Learning: A Survey Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe ODL 76 342 0 25 Jan 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 231 660 0 31 Dec 2020
Weakly Supervised 3D Object Detection from Point Clouds Zengyi Qin Jinglu Wang Yan Lu 3DPC 77 62 0 28 Jul 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 171 738 0 02 Mar 2020
Solving Missing-Annotation Object Detection with Background Recalibration Loss Han Zhang Fangyi Chen Zhiqiang Shen Qiqi Hao Chenchen Zhu Marios Savvides ObjD 135 52 0 12 Feb 2020
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 110 716 0 13 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016