2 papers
cs.CV2025
HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation
Xinyu Wang, Jinghua Hou, Zhe Liu +1
Transformer-based methods have demonstrated remarkable capabilities in 3D semantic segmentation through their powerful attention mechanisms, but the quadratic complexity limits the…
cs.CV2024
AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding
Hongcheng Yang, Dingkang Liang, Dingyuan Zhang +4
The recent advancements in point cloud learning have enabled intelligent vehicles and robots to comprehend 3D environments better. However, processing large-scale 3D scenes remains…