PDF: A Probability-Driven Framework for Open World 3D Point Cloud
Semantic Segmentation

PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation

1 April 2024

Yixue Hao

Long Hu

Min Chen

Papers citing "PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation"

4 / 4 papers shown

Title
Open-world Semantic Segmentation for LIDAR Point Clouds Jun Cen Peng Yun Shiwei Zhang Junhao Cai Di Luan M. Y. Wang Meilin Liu Mingqian Tang 3DPC 39 28 0 04 Jul 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015