Learning without Forgetting for 3D Point Cloud Objects

Learning without Forgetting for 3D Point Cloud Objects

27 June 2021

Papers citing "Learning without Forgetting for 3D Point Cloud Objects"

9 / 9 papers shown

Title
CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation Vishal G. Thengane Jean Lahoud Hisham Cholakkal Rao Muhammad Anwer L. Yin Xiatian Zhu Salman Khan CLL 160 0 0 24 Feb 2025
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction Hossein Resani B. Nasihatkon 3DV 124 0 0 08 Oct 2024
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning Yi Yang Lei Zhong Huiping Zhuang 3DPC CLL 42 0 0 18 Sep 2024
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection Hossein Resani B. Nasihatkon Mohammadreza Alimoradi Jazi 3DPC 38 2 0 12 Sep 2024
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View Shivanand Venkanna Sheshappanavar Tejas Anvekar Shivanand Kundargi Yufan Wang Chandra Kambhamettu 22 3 0 12 Feb 2024
Rethinking Task-Incremental Learning Baselines Md. Rejwanul Hossain P. Saha T. Chowdhury Shafin Rahman Fuad Rahman Nabeel Mohammed CLL 29 5 0 23 May 2022
Continual learning on 3D point clouds with random compressed rehearsal M. Zamorski Michal Stypulkowski Konrad Karanowski Tomasz Trzciñski Maciej Ziȩba 3DPC 24 9 0 16 May 2022
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection Chenchen Zhu Fangyi Chen Uzair Ahmed Zhiqiang Shen Marios Savvides ObjD 99 178 0 02 Mar 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 222 14,103 0 02 Dec 2016