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Wonkyung Lee

2 accepted papers

2022

Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation

ECCV 2022poster

"We present a novel unsupervised domain adaptation method for semantic segmentation that generalizes a model trained with source images and corresponding ground-truth labels to a target domain. A key to domain adaptive semantic segmentation is to learn domain-invariant and discriminative features wi…

Cited by 35SourcePDFScholar
2020

Learning with Privileged Information for Efficient Image Super-Resolution

ECCV 2020poster

Convolutional neural networks (CNNs) have allowed remarkable advances in single image super-resolution (SISR) over the last decade. Most SR methods based on CNNs have focused on achieving performance gains in terms of quality metrics, such as PSNR and SSIM, over classical approaches. They typically…

Cited by 162SourcePDFScholar