Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data

8 April 2023

Papers citing "Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data"

5 / 5 papers shown

Title
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction Hossein Resani B. Nasihatkon 3DV 32 0 0 08 Oct 2024
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
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences Hehe Fan Xin Yu Yuhang Ding Yi Yang Mohan S. Kankanhalli 3DPC 112 108 0 27 May 2022
RECALL: Replay-based Continual Learning in Semantic Segmentation Andrea Maracani Umberto Michieli Marco Toldo Pietro Zanuttigh VLM CLL 43 113 0 08 Aug 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 210 13,886 0 02 Dec 2016