3 code implementations • 24 Sep 2023 • Daniel Seichter, Benedict Stephan, Söhnke Benedikt Fischedick, Steffen Müller, Leonard Rabes, Horst-Michael Gross
As the application scenarios of mobile robots are getting more complex and challenging, scene understanding becomes increasingly crucial.
Ranked #2 on Semantic Segmentation on ScanNetV2
2 code implementations • 8 Jun 2023 • Söhnke Benedikt Fischedick, Daniel Seichter, Robin Schmidt, Leonard Rabes, Horst-Michael Gross
However, we show that the dual CNN-based encoder of EMSANet can be replaced with a single Transformer-based encoder.
Ranked #5 on Semantic Segmentation on ScanNetV2
2 code implementations • 10 Jul 2022 • Daniel Seichter, Söhnke Benedikt Fischedick, Mona Köhler, Horst-Michael Groß
In order to evaluate our multi-task approach, we extend the annotations of the common RGB-D indoor datasets NYUv2 and SUNRGB-D for instance segmentation and orientation estimation.
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.