Table 5 Results on Datasets.
From: Multi-scale fusion for RGB-D indoor semantic segmentation
Model | PA (%) | MPA (%) | MIoU (%) | |||
|---|---|---|---|---|---|---|
NYUv2 | SUN- RGBD | NYUv2 | SUN- RGBD | NYUv2 | SUN- RGBD | |
RDF (2017)45 | 76.0 | 81.5 | 62.8 | 60.1 | 50.1 | 47.7 |
ACNet (2019)27 | – | – | – | – | 48.3 | 48.1 |
CTNet (2019)46 | 76.3 | 82.4 | _ | – | 50.6 | 48.5 |
TSNet (2020)47 | 73.5 | _ | 59.6 | – | 46.1 | _ |
SGNet (2021)30 | 76.1 | 82.0 | 62.7 | – | 50.7 | 48.6 |
ESANet (2021)37 | – | – | – | – | 51.58 | 48.31 |
EMSANet (2022)48 | – | – | – | – | 53.34 | 48.47 |
FRNet (2022)49 | 77.6 | 87.4 | 66.5 | 62.2 | 53.6 | 51.8 |
MSFNet (ours) | 77.8 | 83.6 | 64.2 | 62.4 | 52.23 | 50.32 |
