Novel Class Discovery for 3D Point Cloud Semantic Segmentation

21 March 2023

Papers citing "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"

7 / 7 papers shown

Title
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios Ziming Huang Xurui Li Haotian Liu Feng Xue Yuzhe Wang Yu Zhou 28 0 0 18 Oct 2024
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery Mingxuan Liu Subhankar Roy Zhun Zhong N. Sebe Elisa Ricci CLL SSL 19 10 0 28 Mar 2023
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding Guofeng Mei Cristiano Saltori Fabio Poiesi Jian Andrew Zhang Elisa Ricci N. Sebe Qiang Wu 3DPC 42 5 0 06 Oct 2022
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
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data Xu Jia Kai Han Yukun Zhu Bradley Green 135 57 0 26 Apr 2021
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network Ran Cheng Ryan Razani E. Taghavi Enxu Li Bingbing Liu 3DPC 153 239 0 08 Feb 2021
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 13,886 0 02 Dec 2016