Taeyoung Son — accepted AI-conference papers

2023

WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation

Namyup Kim, Taeyoung Son, Jaehyun Pahk, Cuiling Lan, Wenjun Zeng, Suha Kwak

ICRA 2023poster

Domain generalization for semantic segmentation is highly demanded in real applications, where a trained model is expected to work well in previously unseen domains. One challenge lies in the lack of data which could cover the diverse distributions of the possible unseen domains for training. In thi…

Cited by 27 Source ↗Scholar ↗

2022

FIFO: Learning Fog-Invariant Features for Foggy Scene Segmentation

Sohyun Lee, Taeyoung Son, Suha Kwak

CVPR 2022oral

Robust visual recognition under adverse weather conditions is of great importance in real-world applications. In this context, we propose a new method for learning semantic segmentation models robust against fog. Its key idea is to consider the fog condition of an image as its style and close the ga…

Cited by 79 PDF ↗code ↗Scholar ↗