point-cloud-segmentation topic
DeepViewAgg
[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
autoware_tracker
Minimum code needed to run Autoware multi-object tracking
OpenPointClass
Fast and memory efficient semantic segmentation of 3D point clouds. Runs on Windows, Mac and Linux.
Achelous
Achelous: A Fast Unified Water-surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave Radar
superpoint_transformer
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalabl...
NTU-2022Fall-DLCV
Deep Learning for Computer Vision 深度學習於電腦視覺 by Frank Wang 王鈺強
InsMOS
[IROS23] InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data
traversability_estimation
Semantic Segmentation of Images and Point Clouds for Traversability Estimation
openscene
[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies