no code implementations • IEEE Access 2022 • Kieu Dang Nam, Nguyen Minh Tu, Trinh Van Dieu, Muriel Visani, Nguyen Thi-Oanh, Dinh Viet Sang
Domain adaptation methods in machine learning deal with the domain shift issue by aligning source and target data representation.
Ranked #12 on Unsupervised Domain Adaptation on SYNTHIA-to-Cityscapes
no code implementations • KES 2022 • Nguyen Viet Manh, Kieu Dang Nam, Dinh Viet Sang, Thi-Oanh Nguyen
Unsupervised domain adaptation (UDA) for semantic segmentation aims to transfer knowledge from a source dataset with dense pixel-level annotations to an unlabeled target dataset.
Ranked #8 on Semantic Segmentation on GTAV-to-Cityscapes Labels