3D Semantic Segmentation using GCNs
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Updated
Aug 9, 2021 - Python
3D Semantic Segmentation using GCNs
[ICRA 2024] PCB-RandNet: Rethinking Random Sampling for LiDAR Semantic Segmentation in Autonomous Driving Scene
Non-official implementation of CPGNet
Improving performance of deep learning models for 3D point cloud semantic segmentation via attention mechanisms
[CVPR 2023] LinK: Linear Kernel for LiDAR-based 3D Perception
LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3D Vision (3DV). 2020
[CVPR 2021/TPAMI 2023] Rank 1st in the public leaderboard of SemanticKITTI Panoptic Segmentation (2020-11-16)
🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) 🔥
Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)
My awesome point cloud labeling tool
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
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