Semantic Segmentation On Us3D 1
Metrics
mIoU
Results
Performance results of various models on this benchmark
Model Name | mIoU | Paper Title | Repository |
|---|---|---|---|
| HRNet-18 | 60.33 | Deep High-Resolution Representation Learning for Visual Recognition | |
| HRNet-48 | 72.66 | Deep High-Resolution Representation Learning for Visual Recognition | |
| DeepLabV3+ | 74.42 | Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
0 of 3 row(s) selected.