High-Resolution Representations for Labeling Pixels and Regions

Benchmark Model Rank Results
face-alignment-on-300wHR-Net#15NME_inter-ocular (%, Full): 3.32NME_inter-ocular (%, Common): 2.87
face-alignment-on-aflw-19HR-Net#8NME_diag (%, Full): 1.57NME_diag (%, Frontal): 1.46
face-alignment-on-cofwHRNet#7NME (inter-ocular): 3.45%
semantic-segmentation-on-ade20kHRNetV2#202Validation mIoU: 43.2
semantic-segmentation-on-ade20k-valHRNetV2 (HRNetV2-W48)#83mIoU: 42.99
semantic-segmentation-on-cityscapesHRNet (HRNetV2-W48)#34Mean IoU (class): 81.6%
semantic-segmentation-on-lip-valHRNetV2 (HRNetV2-W48)#7mIoU: 55.90%