Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

Benchmark Model Rank Results
semantic-segmentation-on-cityscapesESANet-R34-NBt1D#49Mean IoU (class): 80.09%
semantic-segmentation-on-nyu-depth-v2ESANet (R34-NBt1D)#47Mean IoU: 50.30
semantic-segmentation-on-nyu-depth-v2ESANet (R18-NBt1D )#59Mean IoU: 48.17
semantic-segmentation-on-sun-rgbdCMX (B5)#26Mean IoU: 48.17
semantic-segmentation-on-urbanlfESANet#5mIoU (Syn): 79.43mIoU (Real): n.a.
thermal-image-segmentation-on-rgb-t-glassESANet#3MAE: 0.040