Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation
Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation
Deep learning-based semantic segmentation methods have an intrinsic limitation that training a model requires a large amount of data with pixel-level annotations. To address this challenging issue, many researchers give attention to unsupervised domain adaptation for semantic segmentation. Unsupervised domain adaptation seeks to adapt the model trained on the source …