Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

4 code implementations • 13 Nov 2020 • Daniel Seichter, Mona Köhler, Benjamin Lewandowski, Tim Wengefeld, Horst-Michael Gross

In this paper, we propose an efficient and robust RGB-D segmentation approach that can be optimized to a high degree using NVIDIA TensorRT and, thus, is well suited as a common initial processing step in a complex system for scene analysis on mobile robots.

Segmentation Semantic Segmentation +1