2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic
Segmentation

2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation

27 November 2023

Luc Van Gool

Papers citing "2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation"

7 / 7 papers shown

Title
HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving R.D. Lin Pengcheng Weng Yue Wang H. Ding Jinsong Han Fei-Yue Wang 3DPC 54 0 0 22 Mar 2025
Bayesian Self-Training for Semi-Supervised 3D Segmentation Ozan Unal Daniel Gehrig Luc Van Gool 3DPC 3DV 37 0 0 12 Sep 2024
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation Linyan Yang Lukas Hoyer Mark Weber Tobias Fischer Dengxin Dai Laura Leal-Taixé Marc Pollefeys Daniel Cremers Luc Van Gool MDE 40 3 0 29 Aug 2024
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds Xu Yan Jiantao Gao Chaoda Zheng Chao Zheng Ruimao Zhang Shenghui Cui Zhen Li 3DPC 89 213 0 10 Jul 2022
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation Li Jiang Shaoshuai Shi Zhuotao Tian Xin Lai Shu-Lin Liu Chi-Wing Fu Jiaya Jia SSL 3DPC 126 115 0 15 Oct 2021
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation Venice Erin Liong Thi Ngoc Tho Nguyen S. Widjaja Dhananjai Sharma Z. J. Chong 3DPC 137 110 0 09 Dec 2020
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