Similarity-Aware Fusion Network for 3D Semantic Segmentation
Similarity-Aware Fusion Network for 3D Semantic Segmentation
In this paper, we propose a similarity-aware fusion network (SAFNet) to adaptively fuse 2D images and 3D point clouds for 3D semantic segmentation. Existing fusion-based methods achieve superior performances by integrating information from multiple modalities. However, they heavily rely on the projection-based correspondence between 2D pixels and 3D points and …