2 papers
cs.CV2024
Textual Query-Driven Mask Transformer for Domain Generalized Segmentation
Byeonghyun Pak, Byeongju Woo, Sunghwan Kim +2
In this paper, we introduce a method to tackle Domain Generalized Semantic Segmentation (DGSS) by utilizing domain-invariant semantic knowledge from text embeddings of vision-langu…
cs.CV2023
Texture Learning Domain Randomization for Domain Generalized Segmentation
Sunghwan Kim, Dae-hwan Kim, Hoseong Kim
Deep Neural Networks (DNNs)-based semantic segmentation models trained on a source domain often struggle to generalize to unseen target domains, i.e., a domain gap problem. Texture…