Rethinking Few-shot 3D Point Cloud Semantic Segmentation

Rethinking Few-shot 3D Point Cloud Semantic Segmentation

1 March 2024

Luc Van Gool

Papers citing "Rethinking Few-shot 3D Point Cloud Semantic Segmentation"

7 / 7 papers shown

Title
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation Zhaochong An Guolei Sun Yun Liu Runjia Li Min Wu Ming-Ming Cheng Ender Konukoglu Serge Belongie 66 4 0 29 Oct 2024
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning Bin Ren Guofeng Mei D. Paudel Weijie Wang Yawei Li Mengyuan Liu Rita Cucchiara Luc Van Gool N. Sebe 3DPC 53 9 0 08 Jul 2024
A Survey of Label-Efficient Deep Learning for 3D Point Clouds Aoran Xiao Xiaoqin Zhang Ling Shao Shijian Lu 3DPC 43 18 0 31 May 2023
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 154 769 0 30 Mar 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 14,136 0 02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 263 1,812 0 25 Nov 2016
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks Martin Engelcke Dushyant Rao Dominic Zeng Wang Chi Hay Tong Ingmar Posner 3DPC 192 521 0 21 Sep 2016