Search Results for author: Thi-Oanh Nguyen

Found 1 papers, 0 papers with code

G2L: A Global to Local Alignment Method for Unsupervised Domain Adaptive Semantic Segmentation

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

Denoising Semantic Segmentation +2

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