EXPo
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Two-sample testing | Expo-1D | Power0.66 | 30 | |
| Semantic Segmentation | EXPo vehicle (Pv) to quadruped (Pq) | Accuracy80.02 | 9 | |
| Semantic Segmentation | EXPo vehicle to drone 1.0 (test) | Accuracy79.57 | 9 | |
| Semantic Segmentation | EXPo Average | Accuracy81.9 | 7 | |
| Semantic Segmentation | EXPo Pq -> Pd | Accuracy79.57 | 7 | |
| Semantic Segmentation | EXPo Pd -> Pq | Acc80.02 | 7 | |
| Semantic Segmentation | EXPo Pq -> Pv | Accuracy86.12 | 7 | |
| Semantic Segmentation | EXPo Pd -> Pv | Accuracy86.12 | 7 | |
| Semantic Segmentation | EXPo Pv -> Pq | Acc80.02 | 7 | |
| Semantic Segmentation | EXPo Pv -> Pd | Accuracy79.57 | 7 | |
| Semantic Segmentation | EXPo Quadruped to Drone 1.0 (test) | Accuracy79.57 | 7 | |
| Semantic Segmentation | EXPo drone to quadruped 1.0 (test) | Accuracy (Overall)80.02 | 7 | |
| Semantic Segmentation | EXPo Drone-to-Quadruped v1 (test) | Accuracy80.02 | 7 | |
| Semantic Segmentation | EXPo Drone-to-Vehicle target v1 (test) | Acc86.12 | 7 | |
| Semantic Segmentation | EXPo quadruped to vehicle v1.0 | Accuracy86.12 | 7 |
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