Light-Weight RefineNet for Real-Time Semantic Segmentation

Benchmark Model Rank Results
real-time-semantic-segmentation-on-nyu-depth-v2Light-Weight-RefineNet-152#2mIoU: 44.4Speed(ms/f): 36
real-time-semantic-segmentation-on-nyu-depth-v2Light-Weight-RefineNet-101#3mIoU: 43.6Speed(ms/f): 27
real-time-semantic-segmentation-on-nyu-depth-v2Light-Weight-RefineNet-50#8mIoU: 41.7Speed(ms/f): 20
semantic-segmentation-on-nyu-depth-v2Light-Weight-RefineNet-152#67Mean IoU: 44.4%
semantic-segmentation-on-nyu-depth-v2Light-Weight-RefineNet-101#69Mean IoU: 43.6%
semantic-segmentation-on-nyu-depth-v2Light-Weight-RefineNet-50#74Mean IoU: 41.7%
semantic-segmentation-on-pascal-voc-2012-testLight-Weight-RefineNet-152#22Mean IoU: 82.7%
semantic-segmentation-on-pascal-voc-2012-testLight-Weight-RefineNet-101#25Mean IoU: 82.0%
semantic-segmentation-on-pascal-voc-2012-testLight-Weight-RefineNet-50#26Mean IoU: 81.1%
semantic-segmentation-on-pascal-voc-2012-testLight-Weight-RefineNet-MobileNet-v2#31Mean IoU: 79.2%