Depth Estimation on FPP-ML-Bench 30-sample (test)
4.46MAEPhiCalNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PhiCalNetOracle fringe-order assumption=true2026.06 | 4.46 | 17.82 | |
| UNet baselineSupervised Loss=Hybrid L12026.06 | 14.54 | 17.88 |
| Method | Links | ||
|---|---|---|---|
| PhiCalNetOracle fringe-order assumption=true2026.06 | 4.46 | 17.82 | |
| UNet baselineSupervised Loss=Hybrid L12026.06 | 14.54 | 17.88 |