Learning color space adaptation from synthetic to real images of cirrus clouds

Training on synthetic data is becoming popular in vision due to the convenient acquisition of accurate pixel-level labels. But the domain gap between synthetic and real images significantly degrades the performance of the trained model... (read more)

Results in Papers With Code
(↓ scroll down to see all results)