FG-Conv: Large-Scale LiDAR Point Clouds Understanding Leveraging Feature Correlation Mining and Geometric-Aware Modeling
Kangcheng Liu,Zhi Gao,Feng Lin,Ben M. Chen,Kangcheng Liu,Zhi Gao,Feng Lin,Ben M. Chen
This work presents a general deep learning framework for large-scale point clouds understanding without voxelizations, called FG-Conv, which achieves an accurate and real-time understanding of point clouds. Through our novel design combining feature level correlation mining and deformable convolutions based geometric aware modeling, the local feature relationships and geometric patterns can be cap...
