Depth Estimation on DDAD 12 (test)
0.088Abs RelAFNet(ConvNeXt)
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| AFNet(ConvNeXt)Type=Fusion Methods, parm(M)=46.1, Backbone=ConvNeXt2024.03 | 0.088 | 1.41 | 7.23 | |
| AFNet(MobileNetV2)Type=Fusion Methods, parm(M)=13.9, Backbone=MobileNetV22024.03 | 0.091 | 1.45 | 7.28 | |
| MaGNetType=Fusion Methods, parm(M)=76.42024.03 | 0.112 | 1.74 | 9.23 | |
| MVS2DType=Fusion Methods, parm(M)=24.42024.03 | 0.132 | 2.05 | 9.82 | |
| AdaBinsType=Single View, parm(M)=78.02024.03 | 0.164 | 2.66 | 11.08 | |
| BTSType=Single View, parm(M)=112.82024.03 | 0.169 | 2.81 | 11.85 |