AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans

AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans

24 March 2024

Laurenz Adrian Heidrich

Matthias Nießner

Anastasiia Kornilova

Papers citing "AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans"

6 / 6 papers shown

Title
Point Transformer V3: Simpler, Faster, Stronger Xiaoyang Wu Li Jiang Peng-Shuai Wang Zhijian Liu Xihui Liu Yu Qiao Wanli Ouyang Tong He Hengshuang Zhao 77 215 0 15 Dec 2023
Towards Unsupervised Object Detection From LiDAR Point Clouds Lunjun Zhang A. Yang Yuwen Xiong Sergio Casas Bin Yang Mengye Ren R. Urtasun 3DPC 66 20 0 03 Nov 2023
Mask3D: Mask Transformer for 3D Semantic Instance Segmentation Jonas Schult Francis Engelmann Alexander Hermans Or Litany Siyu Tang Bastian Leibe ISeg 50 164 0 06 Oct 2022
Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud Seungjae Lee Hyungtae Lim Hyun Myung 3DV 45 104 0 25 Jul 2022
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation Li Jiang Shaoshuai Shi Zhuotao Tian Xin Lai Shu-Lin Liu Chi-Wing Fu Jiaya Jia SSL 3DPC 118 115 0 15 Oct 2021
Hierarchical Aggregation for 3D Instance Segmentation Shaoyu Chen Jiemin Fang Qian Zhang Wenyu Liu Xinggang Wang 3DPC 47 162 0 05 Aug 2021