Texture Learning Domain Randomization for Domain Generalized Segmentation

1 code implementation • ICCV 2023 • Sunghwan Kim, Dae-hwan Kim, Hoseong Kim

TLDR includes two novel losses to effectively enhance texture learning in DGSS: (1) a texture regularization loss to prevent overfitting to source domain textures by using texture features from an ImageNet pre-trained model and (2) a texture generalization loss that utilizes random style images to learn diverse texture representations in a self-supervised manner.

Segmentation Semantic Segmentation