1 code implementation • 13 Dec 2023 • Mingle Xu, Ji Eun Park, Jaehwan Lee, Jucheng Yang, Sook Yoon
We further provide several directions for future, such as creating challenge-oriented datasets and the ultimate objective deploying deep learning in real-world applications with satisfactory performance.
1 code implementation • 13 Aug 2023 • Jiajia Li, Mingle Xu, Lirong Xiang, Dong Chen, Weichao Zhuang, Xunyuan Yin, Zhaojian Li
These models are trained on a large amount of data from multiple domains and modalities.
no code implementations • 19 May 2023 • Mingle Xu, Hyongsuk Kim, Jucheng Yang, Alvaro Fuentes, Yao Meng, Sook Yoon, Taehyun Kim, Dong Sun Park
We believe that our paper sheds light on the importance of embracing poor datasets, enhances the understanding of the associated challenges, and contributes to the ambitious objective of deploying deep learning in real-world applications.
no code implementations • 25 Jan 2023 • Mingle Xu, Jaehwan Lee, Sook Yoon, Hyongsuk Kim, Dong Sun Park
Semantic image synthesis (SIS) aims to produce photorealistic images aligning to given conditional semantic layout and has witnessed a significant improvement in recent years.
no code implementations • 3 May 2022 • Mingle Xu, Sook Yoon, Alvaro Fuentes, Dong Sun Park
In this paper, we perform a comprehensive survey on image augmentation for deep learning with a novel informative taxonomy.