ResiDualGAN: Resize-Residual DualGAN for Cross-Domain Remote Sensing Images Semantic Segmentation. (arXiv:2201.11523v2 [cs.CV] UPDATED)

The performance of a semantic segmentation model for remote sensing (RS)
images pretrained on an annotated dataset would greatly decrease when testing
on another unannotated dataset because of the domain gap. Adversarial
generative methods, e.g., DualGAN, are utilized for unpaired image-to-image
translation to minimize the pixel-level domain gap, which is one of the common
approaches for unsupervised domain adaptation (UDA). However, the existing
image translation methods are facing two problems when performing RS images
translation: 1) ignoring the scale discrepancy …

arxiv images remote segmentation semantic sensing