Semantic Segmentation on EXPo quadruped to vehicle v1.0
86.12AccuracyTarget
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Targettraining_paradigm=Supervised (Target domain labels)2025.03 | 86.12 | 66.02 | 55.93 | 16.18 | 87.07 | 22.7 | 52.59 | 39.41 | 79.49 | 58.82 | 77.75 | 14.79 | 37.51 | |
| EventFlytraining_paradigm=Unsupervised Domain Adaptation2025.03 | 73.93 | 49.56 | 37.7 | 14.93 | 50.94 | 4.9 | 35.48 | 26.13 | 66.73 | 32.53 | 69.77 | 2.49 | 12.68 | |
| PLSRtraining_paradigm=Unsupervised Domain Adaptation2025.03 | 72.93 | 49.82 | 36.38 | 14.48 | 48.51 | 3.92 | 30.15 | 23.91 | 71.16 | 43.34 | 65.4 | 2.97 | 0 | |
| MICtraining_paradigm=Unsupervised Domain Adaptation2025.03 | 72.46 | 47.54 | 35.22 | 14.59 | 47.87 | 4.17 | 30.35 | 21.61 | 70.35 | 40.2 | 63.88 | 1.91 | 0 | |
| DACStraining_paradigm=Unsupervised Domain Adaptation2025.03 | 71.2 | 48.04 | 34.78 | 14.3 | 45.05 | 3.44 | 28.44 | 23.52 | 67.79 | 39.25 | 63.47 | 4.56 | 0 | |
| AdaptSegNettraining_paradigm=Unsupervised Domain Adaptation2025.03 | 66.74 | 41.78 | 30.65 | 13.54 | 43.3 | 2.11 | 23.74 | 14.85 | 66.78 | 34.4 | 59.86 | 1.12 | 0.11 | |
| Source-Onlytraining_paradigm=Source-only (No adaptation)2025.03 | 57.49 | 33.39 | 21.3 | 12 | 56.09 | 1.16 | 13.67 | 8.84 | 37.18 | 13.08 | 56.39 | 1.08 | 0.3 |