VECtor
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Event Sequencing | VECTOR L2 (Ne=8) 1.0 (test) | EM (Exact Match)8,500 | 26 | |
| Event Sequencing | VECTOR L1 (Ne=4) 1.0 (test) | EM Score90 | 26 | |
| Event Sequencing (Full-sequence ordering) | VECTOR L2 | Exact Match (EM)80 | 13 | |
| Event Sequencing (Full-sequence ordering) | VECTOR L1 | Exact Match (EM)8,500 | 13 | |
| 2D-3D registration | VECtor E2P (test) | Rotation Error (deg)8.672 | 12 | |
| Event Position Identification (Single event detection) | VECTOR L2 | Exact Match (EM)71.33 | 6 | |
| Tracking | Vector 15 | Average Tracking Score38.45 | 6 | |
| Trajectory Estimation | VECtor school-dolly | RMS ATE (cm)74.51 | 5 | |
| Pose Estimation | VECtor | AUC@5°47.7 | 5 | |
| Trajectory Estimation | VECtor (units-scooter) | RMS ATE (cm)138.48 | 4 | |
| Trajectory Estimation | VECtor units-dolly | RMS ATE (cm)136.72 | 4 | |
| Trajectory Estimation | VECtor (school-scooter) | RMS ATE (cm)174.44 | 4 | |
| Trajectory Estimation | VECtor (corr.-walk) | RMS ATE (cm)70.22 | 4 | |
| Trajectory Estimation | VECtor corr.-dolly | RMS ATE (cm)73.28 | 4 | |
| 3D Reconstruction | VECtor sofa-normal | Accuracy352.17 | 4 | |
| 3D Reconstruction | VECtor desk-normal | Accuracy182.56 | 4 | |
| 3D Reconstruction | VECtor sofa-fast | Accuracy361.92 | 4 | |
| 3D Reconstruction | VECtor desk-fast | Accuracy189.96 | 4 | |
| 3D Reconstruction | VECtor 65 (average) | Accuracy271.65 | 4 | |
| Registration | VECtor (sofa-normal) | R Error (deg)6.6 | 4 | |
| Registration | VECtor desk-normal | Rotation Error6.42 | 4 | |
| Registration | VECtor (sofa-fast) | Rotational Error (deg)9.8 | 4 | |
| Registration | VECtor desk-fast | Rotation Error (°)8.43 | 4 | |
| Registration | VECtor (avg) | Rotational Error8.86 | 4 | |
| Relative Event Sequencing (Sub-sequence ordering) | VECTOR L2 | Exact Match (EM)53.67 | 4 |
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