DIML
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Depth Super-Resolution | DIML Microsoft Kinect (test) | MSE4.4 | 24 | |
| Monocular Depth Estimation | DIML Outdoor (test) | Delta 1 Acc70 | 10 | |
| Guided Depth Super-resolution | DIML x16 upsampling | MSE9.45 | 10 | |
| Guided Depth Super-resolution | DIML x8 upsampling | MSE3.51 | 10 | |
| Guided Depth Super-resolution | DIML x4 upsampling | MSE1.68 | 10 | |
| Guided Depth Super-resolution | DIML | MSE4.95 | 9 | |
| Monocular Depth Estimation | DIML Outdoor (unseen test) | Delta 1 Accuracy29.2 | 7 | |
| Depth Estimation | DIML Outdoor zero-shot | Delta 160.2 | 7 | |
| Depth Super-Resolution | DIML (test) | MAPE0.7 | 7 | |
| Monocular Depth Estimation | DIML (test) | Abs Rel0.163 | 6 | |
| Guided Depth Super-Resolution | DIML Indoor (test) | MSE38.6 | 3 |
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