Road layout randomization on semantic labels produces synthetic training pairs that improve mIoU for rare road marking classes by over 12 percentage points in real-world urban deployment while retaining performance on other classes.
Context- aware synthesis and placement of object instances,
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Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation
Road layout randomization on semantic labels produces synthetic training pairs that improve mIoU for rare road marking classes by over 12 percentage points in real-world urban deployment while retaining performance on other classes.