FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle
Detection

FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection

17 May 2021

Jie Zhou

Papers citing "FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle 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 174 0 0 11 Mar 2025
Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance Kuan-Chih Huang Yi-Hsuan Tsai Ming-Hsuan Yang 3DPC 32 4 0 12 Dec 2023
2DDATA: 2D Detection Annotations Transmittable Aggregation for Semantic Segmentation on Point Cloud Guan-Cheng Lee 3DPC 18 0 0 21 Sep 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds Aoran Xiao Xiaoqin Zhang Ling Shao Shijian Lu 3DPC 38 18 0 31 May 2023
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo Yi Wei Shaohui Liu Yongming Rao Wang Zhao Jiwen Lu Jie Zhou 32 248 0 02 Sep 2021
Weakly Supervised 3D Object Detection from Point Clouds Zengyi Qin Jinglu Wang Yan Lu 3DPC 77 62 0 28 Jul 2020
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud Hongwei Yi Shaoshuai Shi Mingyu Ding Jiankai Sun Kui Xu Hui Zhou Zhe Wang Sheng Li Guoping Wang 3DPC 83 56 0 13 Feb 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 222 14,099 0 02 Dec 2016