Table 3 Comparison of classification accuracies (%) on Cityscapes and Foggy Cityscapes datasets
Method | C⟶F | F⟶C | ||||||
|---|---|---|---|---|---|---|---|---|
Pedestrian | Vehicle | 2-wheeler | Avg. | Pedestrian | Vehicle | 2-wheeler | Avg. | |
ML-KNN [7] | 84.2 | 95.8 | 60.6 | 80.21 | 89.5 | 97.6 | 73.2 | 86.75 |
TCA [16] | 75.5 | 94.1 | 51.9 | 73.85 | 76.6 | 93.0 | 55.5 | 74.94 |
JDA [17] | 76.7 | 93.9 | 58.3 | 76.29 | 77.1 | 93.4 | 59.7 | 76.74 |
BDA [18] | 77.9 | 93.9 | 60.3 | 77.35 | 78.3 | 94.0 | 61.6 | 77.97 |
DDC [23] | 87.7 | 97.7 | 76.6 | 87.33 | 87.6 | 98.1 | 77.6 | 87.77 |
DAN [31] | 90.3 | 99.1 | 86.2 | 91.85 | 95.5 | 99.3 | 92.6 | 95.83 |
Ours (ML-ANet) | 93.1 | 99.5 | 91.9 | 94.83 | 96.8 | 99.3 | 94.5 | 96.85 |