A toolkit for preprocessing, training and inference
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Updated
May 22, 2024 - Python
A toolkit for preprocessing, training and inference
3D Reconstruction and Classification from Very High Resolution Satellite Imagery (ReKlaSat 3D)
Generalizable Stable Points Segmentation for 3D LiDAR Scan-to-Map Long-Term Localization
MINSU3D: MinkowskiEngine-powered Scene Understanding in 3D
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
MinkLoc3D: Point Cloud Based Large-Scale Place Recognition
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)
4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
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