A Stable Diffusion and SAM pipeline generates masked cutouts for novel classes, and mixing them into synthetic source images lets UDA segmentation models learn those classes without modifying the simulator or algorithm.
Visual domain adaptation through lo- cality information
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Unsupervised Class Generation to Expand Semantic Segmentation Datasets
A Stable Diffusion and SAM pipeline generates masked cutouts for novel classes, and mixing them into synthetic source images lets UDA segmentation models learn those classes without modifying the simulator or algorithm.