SEQ
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Heading Estimation | Seq. 001 | RMSE (°)0.25 | 8 | |
| Positioning | Seq 001 | Position RMSE (m)0.06 | 5 | |
| LiDAR-Inertial Odometry | seq 5 | Translation Error0.2359 | 5 | |
| LiDAR-Inertial Odometry | seq4 | Translation Error0.2583 | 5 | |
| Hierarchical Multi-Label Classification | SEQ FUN (test) | F1 Score6.6 | 5 | |
| Hierarchical Multi-Label Classification | SEQ (GO) | F1 Score4.46 | 5 | |
| Heading Estimation | Seq. 003 | RMSE (Degrees)1.13 | 4 | |
| Heading Estimation | Seq. 002 | RMSE (°)1.88 | 4 | |
| Gene Function Prediction (GO) | Seq | F1 Score4.6 | 2 | |
| Gene Function Prediction (FUN) | Seq | F1 Score7.57 | 2 | |
| Hierarchical Multi-Label Classification | SEQ (FUN) | F1 Score- | 0 | |
| Hierarchical Multi-Label Classification | SEQ GO FUN (test) | F1 Score- | 0 |
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