BONN
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Video Depth Estimation | Bonn | Relative Error (Rel)0.036 | 103 | |
| Video Depth Estimation | Bonn (test) | Abs Rel0.03 | 37 | |
| Camera tracking | BONN dynamic sequences | Balloon Error1.8 | 25 | |
| Video Depth Estimation | Bonn short sequences | Abs Rel0.055 | 20 | |
| Human-centric depth estimation | Bonn | Abs Rel0.035 | 16 | |
| Monocular depth estimation | BONN | Relative Error (Rel)0.037 | 14 | |
| Rendering Performance | Bonn | Quality Score (balloon)26.16 | 12 | |
| Dynamic Scene Reconstruction | Bonn | RPE Translation0.094 | 10 | |
| Five-class epilepsy classification | Bonn dataset | Accuracy93.66 | 10 | |
| Pose Estimation | Bonn | ATE0.016 | 10 | |
| Tracking Accuracy | Bonn | bal1 Score66.9 | 8 | |
| Video Depth Estimation | Bonn 110 frames | AbsRel6.6 | 8 | |
| Video depth estimation | Bonn 5 scenes | Abs Rel0.067 | 8 | |
| Video Depth Estimation | Bonn 36 (test) | AbsRel7.5 | 7 | |
| Depth Estimation | Bonn 110 frames | AbsRel7.1 | 6 | |
| Camera pose estimation | Bonn 3 scenes | ATE36.7 | 5 | |
| Video depth estimation | Bonn 3 scenes | Abs Rel0.077 | 5 | |
| 3D Mapping | Bonn person_tracking2 | Accuracy [CM]10.6 | 4 | |
| 3D Mapping | Bonn person_tracking | Accuracy (CM)8.5 | 4 | |
| 3D Mapping | Bonn (balloon2) | Accuracy (CM)4.3 | 4 | |
| 3D Mapping | Bonn balloon | Accuracy (CM)6.8 | 4 | |
| Camera pose estimation | Bonn 5 scenes | ATE0.0065 | 4 | |
| Reconstruction | BONN dynamic scene sequences | Ball2 Error (cm)5.8 | 4 | |
| Rendering | Bonn RGB-D (test) | Metric- | 0 | |
| Simultaneous Localization and Mapping | Bonn dataset | System Latency Component (ms)- | 0 |
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