Objective
DAFormer is an architecture proposed to improve domain adaptation for segmentation models.
For the encoder, the “Hierarchical Transformer” is used due to being revealed to be robust to domain shifts.
The decoder applies context-aware fusion which utilizes domain-robust context clues from different encoder levels.
