Penetration Depth Prediction on Penetration depth prediction dataset
1.7914RMSE (mm)MAU + MFN-Mamba
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MAU + MFN-Mambafeature extraction network=MAU, feature fusion network=MFN-Mamba, Inference time(ms)=107.41(+18.26)2026.06 | 1.7914 | 0.9814 | 1.0509 | |
| TimeSformer + MFN-Mambafeature extraction network=TimeSformer, feature fusion network=MFN-Mamba, Inference time(ms)=138.552026.06 | 2.1895 | 0.979 | 1.3578 | |
| CNN + Pyraformer + MFN-Mambafeature extraction network=CNN + Pyraformer, feature fusion network=MFN-Mamba, Inference time(ms)=126.202026.06 | 2.6112 | 0.9733 | 1.7056 | |
| CNN + TCN + MFN-Mambafeature extraction network=CNN + TCN, feature fusion network=MFN-Mamba, Inference time(ms)=96.102026.06 | 2.8341 | 0.9721 | 1.7224 | |
| ConvLSTM + MFN-Mambafeature extraction network=ConvLSTM, feature fusion network=MFN-Mamba, Inference time(ms)=89.15(+24.70)2026.06 | 3.6371 | 0.9666 | 1.8818 | |
| CNN-LSTM + MFN-Mambafeature extraction network=CNN-LSTM, feature fusion network=MFN-Mamba, Inference time(ms)=64.452026.06 | 4.8541 | 0.9135 | 2.5053 |