HRNet is a state-of-the-art algorithm in the field of semantic segmentation, facial landmark detection, and human pose estimation, it can achieve high-resolution, rich semantic, and multi-scale feature maps through cross-resolution information interaction.
| Model | Download | Top-1 accuracy (%) | Top-5 accuracy (%) |
|---|---|---|---|
| HRNet | 84M | 76.8 | 93.4 |
- HRNet is from the paper titled Deep High-Resolution Representation Learning for Visual Recognition
- This pre-train model is from the HRNet/HRNet-Image-Classification
MIT