Shypd.aiThe largest open index of AI toolsSoTA-Point-Cloud is a Research & Education tool that provides a comprehensive survey of deep learning methods for 3D point clouds. It includes benchmark results and datasets for various tasks.
Trending
About
SoTA-Point-Cloud is a GitHub repository offering an extensive survey of deep learning techniques applied to 3D point clouds. Published in IEEE TPAMI 2020, this resource covers major tasks such as 3D shape classification, 3D object detection, and 3D point cloud segmentation. It provides comparative results on numerous publicly available datasets, including ModelNet, KITTI, and Semantic3D. The repository also offers insightful observations and outlines future research directions, making it an invaluable resource for researchers and practitioners in the field of 3D computer vision. The maintainers regularly update the page with new results and suggestions.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
Also listed in
