PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning

PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning

5 December 2022

Saeed Anwar

Mehrtash Harandi

Papers citing "PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning"

9 / 9 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
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation Hexin Dong Zi Chen Mingze Yuan Yutong Xie Jie Zhao Fei Yu Bin Dong Li Zhang 36 9 0 17 May 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 167 404 0 12 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 173 326 0 01 Oct 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample Dogyoon Lee Jaeha Lee Junhyeop Lee Hyeongmin Lee Minhyeok Lee Sungmin Woo Sangyoun Lee 3DPC 134 72 0 03 Feb 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 223 962 0 13 Dec 2020
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 113 873 0 03 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 14,047 0 02 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015