1 code implementation • 31 Mar 2024 • Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin, Maria Razzhivina, Ilya Makarov
This paper addresses the critical challenges of sparsity and occlusion in LiDAR-based 3D object detection.
no code implementations • 10 Nov 2023 • Maksim Golyadkin, Alexander Gambashidze, Ildar Nurgaliev, Ilya Makarov
In response to the growing demand for 3D object detection in applications such as autonomous driving, robotics, and augmented reality, this work focuses on the evaluation of semi-supervised learning approaches for point cloud data.
1 code implementation • 17 Aug 2022 • Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov
However, manual annotation of large amounts of data can be difficult in industrial settings.