3D Face Pose Estimation on FFHQ
2.243DRMSEMogaNet-S
Evaluation Results
| Method | Links | |
|---|---|---|
| MogaNet-SBackbone Type=C, Params (M)=26.7, FLOPs (G)=6.5, Input Resolution=224x2242022.11 | 2.24 | |
| ConvNeXt-SBackbone Type=C, Params (M)=51.6, FLOPs (G)=11.4, Input Resolution=224x2242022.11 | 2.27 | |
| ConvNeXt-TBackbone Type=C, Params (M)=30, FLOPs (G)=5.8, Input Resolution=224x2242022.11 | 2.34 | |
| MogaNet-TBackbone Type=C, Params (M)=6.6, FLOPs (G)=1.5, Input Resolution=224x2242022.11 | 2.36 | |
| HorNet-TBackbone Type=C, Params (M)=23.8, FLOPs (G)=5.6, Input Resolution=224x2242022.11 | 2.39 | |
| ResNet-18Backbone Type=C, Params (M)=13.1, FLOPs (G)=2.4, Input Resolution=224x2242022.11 | 2.4 | |
| Swin-TBackbone Type=T, Params (M)=30.3, FLOPs (G)=6.1, Input Resolution=224x2242022.11 | 2.45 | |
| ResNet-101Backbone Type=C, Params (M)=46, FLOPs (G)=10.3, Input Resolution=224x2242022.11 | 2.47 | |
| ResNet-50Backbone Type=C, Params (M)=27, FLOPs (G)=5.4, Input Resolution=224x2242022.11 | 2.48 | |
| Swin-SBackbone Type=T, Params (M)=50.9, FLOPs (G)=8.5, Input Resolution=224x2242022.11 | 2.48 | |
| DeiT-SBackbone Type=T, Params (M)=23.5, FLOPs (G)=5.5, Input Resolution=224x2242022.11 | 2.52 | |
| MobileNetV2Backbone Type=C, Params (M)=4.9, FLOPs (G)=0.4, Input Resolution=224x2242022.11 | 2.64 |