Semantic Segmentation on EXPo Drone-to-Vehicle target v1 (test)
86.12AccTarget
Evaluation results
| Method | Links | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Targetadaptation_mode=supervised, training_source=vehicle ground truth2025.03 | 86.12 | 66.02 | 55.93 | 16.18 | 87.07 | 75.41 | 22.7 | 52.59 | 39.41 | 79.49 | 58.82 | 77.75 | 69.63 | 14.79 | 37.61 | |
| EventFlyadaptation_mode=UDA, source=drone, target=vehicle2025.03 | 75.5 | 52.9 | 39.92 | 15.08 | 53.93 | 65.14 | 6.43 | 31.61 | 23.93 | 72.18 | 46.22 | 68.68 | 47.9 | 4.12 | 19.01 | |
| MICadaptation_mode=UDA, source=drone, target=vehicle2025.03 | 72.46 | 49.54 | 36.88 | 14.42 | 48.15 | 60.68 | 0 | 30.87 | 24.95 | 70.33 | 39.47 | 65.17 | 44.51 | 6.36 | 15.21 | |
| PLSRadaptation_mode=UDA, source=drone, target=vehicle2025.03 | 72.46 | 49.84 | 37.18 | 14.45 | 44.94 | 62.15 | 2.55 | 35.6 | 23.98 | 72.59 | 41.99 | 61.18 | 47.92 | 3.87 | 12.24 | |
| DACSadaptation_mode=UDA, source=drone, target=vehicle2025.03 | 71.78 | 48.58 | 36.1 | 14.34 | 47.65 | 60 | 0 | 32.97 | 23.57 | 69.89 | 37.76 | 63.69 | 43.45 | 6.53 | 11.6 | |
| AdaptSegNetadaptation_mode=UDA, source=drone, target=vehicle2025.03 | 68.29 | 39.99 | 29.55 | 13.72 | 41.79 | 56.46 | 0.53 | 2.8 | 20.75 | 68.86 | 34.47 | 58.42 | 40.7 | 0 | 0.23 | |
| Source-Onlyadaptation_mode=none, training_source=drone2025.03 | 57.91 | 29.97 | 20.79 | 11.72 | 52.64 | 30.04 | 0.82 | 0.35 | 11.27 | 46.96 | 7.48 | 46.51 | 31.99 | 0 | 0.68 |