Cityscapes
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
Cityscapes 13 (val)
84.8mIoU
8
Cityscapes
95.89Overall Accuracy
8
Cityscapes sequence
78.61mIoU
8
Cityscapes sequence
38.43mAP
8
Cityscapes (trainextra)
78.88mIoU
8
Cityscapes (train extra)
38.48mAP
8
Cityscapes adapted from Synthia (val)
89.4Road IoU
8
Cityscapes (val)
79.8mIoU (Base, Cityscapes val)
8
Cityscapes 128x128 2 → 28 (256 Random Samples)
121.3FVD
8
FoggyCityscapes v1 (test)
54.7AP (Bus)
8
Cityscapes
5.76FID
8
Cityscapes
84.3mIoU (%)
8
Cityscapes 3-2 (9 Steps) (test)
59.06mIoU
8
Cityscapes 5-1 (15 Steps) (test)
59.06mIoU
8
Cityscapes 18 Steps 2-1 (test)
59.06mIoU
8
Cityscapes 1-1 (19 Steps) (test)
59.06mIoU
8
Cityscapes Adverse (test)
71.8mIoU (Rainy)
8
Cityscapes Underrepresented classes
93.5Accuracy δ < 1.25^1
8
Cityscapes
75.6mIoU
8
Cityscapes Average across 18 Centers Local
81mIoU
8
Cityscapes 1/16 split 1.0 (val)
77.3mIoU
8
Cityscapes (val)
78.4mIoU (1/8 partition)
8
Cityscapes Cross-FOV Adaptation from KITTI K→C (val)
61.4mAP
8
Cityscapes 11 steps (11-1)
79.3mIoU
8
Cityscapes 3 steps (11-5)
79.3mIoU
8