2 code implementations • CVPR 2022 • Sohyun Lee, Taeyoung Son, Suha Kwak
Robust visual recognition under adverse weather conditions is of great importance in real-world applications.
Ranked #4 on Domain Adaptation on Cityscapes-to-FoggyDriving
no code implementations • 29 Sep 2021 • Namyup Kim, Taeyoung Son, Jaehyun Pahk, Cuiling Lan, Wenjun Zeng, Suha Kwak
We also present a method which injects styles of the web-crawled images into training images on-the-fly during training, which enables the network to experience images of diverse styles with reliable labels for effective training.
1 code implementation • 17 Jul 2020 • Taeyoung Son, Juwon Kang, Namyup Kim, Sunghyun Cho, Suha Kwak
Despite the great advances in visual recognition, it has been witnessed that recognition models trained on clean images of common datasets are not robust against distorted images in the real world.