Semi-supervised Domain Adaptation for Semantic Segmentation

no code implementations • 20 Oct 2021 • Ying Chen, Xu Ouyang, Kaiyue Zhu, Gady Agam

We demonstrate that the proposed approach outperforms state-of-the-art methods on two common synthetic-to-real semantic segmentation benchmarks.

Data Augmentation Segmentation +3

Mask-based Data Augmentation for Semi-supervised Semantic Segmentation

no code implementations • 25 Jan 2021 • Ying Chen, Xu Ouyang, Kaiyue Zhu, Gady Agam

Training a CNN to perform semantic segmentation requires a large amount of labeled data, where the production of such labeled data is both costly and labor intensive.

Data Augmentation Image Segmentation +2

Domain Adaptation on Semantic Segmentation for Aerial Images

no code implementations • 3 Dec 2020 • Ying Chen, Xu Ouyang, Kaiyue Zhu, Gady Agam

In this paper, we propose a novel unsupervised domain adaptation framework to address domain shift in the context of aerial semantic image segmentation.

Image Segmentation Segmentation +2