PanopticNDT: Efficient and Robust Panoptic Mapping

Benchmark Model Rank Results
panoptic-segmentation-on-scannetv2PanopticNDT (10cm)#2PQ: 59.19
semantic-segmentation-on-hypersimEMSANet (2x ResNet-34 NBt1D)#1mIoU: 49.74mIoU (test): 46.66
semantic-segmentation-on-nyu-depth-v2EMSANet (2x ResNet-34 NBt1D, PanopticNDT version, finetuned)#5Mean IoU: 59.02
semantic-segmentation-on-scannetPanopticNDT (10cm)#28val mIoU: 68.39test mIoU: 68.1
semantic-segmentation-on-scannetv2EMSANet (2x ResNet-34 NBt1D, PanopticNDT version)#2Mean IoU: 60.0%Mean IoU (test): 60.0%Mean IoU (val): 70.99%
semantic-segmentation-on-sun-rgbdEMSANet (2x ResNet-34 NBt1D, PanopticNDT version, finetuned)#15Mean IoU: 50.86%