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Table 4 Comparison of classification accuracies (%) on Cityscapes and KITTI datasets

From: ML-ANet: A Transfer Learning Approach Using Adaptation Network for Multi-label Image Classification in Autonomous Driving

Method CK KC
Pedestrian Vehicle 2-wheeler Avg. Pedestrian Vehicle 2-wheeler Avg.
ML-KNN [7] 62.9 94.7 54.2 70.58 56.2 74.7 56.2 62.38
TCA [16] 59.5 89.6 50.7 66.61 69.5 71.8 43.4 61.57
JDA [17] 65.7 87.1 52.7 68.49 67.3 74.5 44.2 62.03
BDA [18] 71.3 92.0 48.6 70.61 70.0 74.3 45.6 63.27
DDC [23] 77.1 93.4 55.5 75.30 73.5 80.4 52.1 68.67
DAN [31] 77.4 93.6 58.4 76.47 74.4 81.2 51.6 69.07
Ours (ML-ANet) 81.7 94.9 59.4 78.67 75.2 83.8 51.3 70.10