BONN
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Video Depth Estimation | Bonn | AbsRel4.5 | 116 | |
| Video Depth Estimation | Bonn | Relative Error (Rel)0.036 | 103 | |
| Depth Estimation | Bonn | Abs Rel0.052 | 56 | |
| Video Depth Estimation | Bonn short sequences | Abs Rel0.052 | 42 | |
| Monocular depth estimation | BONN | Delta 1.25 Accuracy97.9 | 42 | |
| Video Depth Estimation | Bonn (test) | Abs Rel0.03 | 41 | |
| Video Depth Estimation | Bonn 110 frames | AbsRel5.5 | 40 | |
| Pose Estimation | Bonn | ATE0.002 | 38 | |
| Scale-Invariant Depth Estimation | Bonn | Abs Rel7.3 | 30 | |
| Camera tracking | BONN dynamic sequences | Balloon Error1.8 | 25 | |
| Human-centric depth estimation | Bonn | Abs Rel0.035 | 16 | |
| Camera Tracking | Bonn ps_track | ATE (cm)1.2 | 15 | |
| Camera Tracking | Bonn balloon | Absolute Trajectory Error (cm)2.4 | 14 | |
| Video Depth Estimation | BONN 23 | Abs Rel Error0.055 | 13 | |
| Geometry Estimation | Bonn | EPE0.162 | 12 | |
| Rendering Performance | Bonn | Quality Score (balloon)26.16 | 12 | |
| Video Depth Estimation | Bonn (test) | FPS85 | 11 | |
| Dynamic Scene Reconstruction | Bonn | RPE Translation0.094 | 10 | |
| Five-class epilepsy classification | Bonn dataset | Accuracy93.66 | 10 | |
| Camera Pose Estimation | Bonn 60 (test) | ATE0.009 | 9 | |
| Tracking Accuracy | Bonn | bal1 Score66.9 | 8 | |
| Video depth estimation | Bonn 5 scenes | Abs Rel0.067 | 8 | |
| Video Depth Estimation | Bonn 37 (test) | AbsRel5.1 | 7 | |
| Video Depth Estimation | Bonn 36 (test) | AbsRel7.5 | 7 | |
| Depth Estimation | Bonn 110 frames | AbsRel7.1 | 6 |
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