no code implementations • 3 May 2020 • Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, Jiji C. V
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results.
no code implementations • 4 Oct 2019 • Junghoon Seo, Seungwon Lee, Beomsu Kim, Taegyun Jeon
In this paper, we revisit the classical bootstrap aggregating approach in the context of modern transfer learning for data-efficient disaster damage detection.
no code implementations • 26 Aug 2019 • Junghoon Seo, Jamyoung Koo, Taegyun Jeon
We propose Deep Closed-Form Subspace Clustering (DCFSC), a new embarrassingly simple model for subspace clustering with learning non-linear mapping.
1 code implementation • 22 Aug 2019 • Yooseung Wang, Junghoon Seo, Taegyun Jeon
Road extraction from very high resolution satellite (VHR) images is one of the most important topics in the field of remote sensing.
1 code implementation • 27 Mar 2019 • Beomsu Kim, Junghoon Seo, Taegyun Jeon
Adversarial training is a training scheme designed to counter adversarial attacks by augmenting the training dataset with adversarial examples.
2 code implementations • 13 Feb 2019 • Beomsu Kim, Junghoon Seo, SeungHyun Jeon, Jamyoung Koo, Jeongyeol Choe, Taegyun Jeon
Saliency Map, the gradient of the score function with respect to the input, is the most basic technique for interpreting deep neural network decisions.
no code implementations • 27 Sep 2018 • Beomsu Kim, Junghoon Seo, Jeongyeol Choe, Jamyoung Koo, Seunghyeon Jeon, Taegyun Jeon
In this paper, we identify the cause of noisy saliency maps.
no code implementations • 8 Jun 2018 • Junghoon Seo, Jeongyeol Choe, Jamyoung Koo, Seunghyeon Jeon, Beomsu Kim, Taegyun Jeon
SmoothGrad and VarGrad are techniques that enhance the empirical quality of standard saliency maps by adding noise to input.
no code implementations • 8 Jun 2018 • Junghoon Seo, Seunghyun Jeon, Taegyun Jeon
Object detection and classification for aircraft are the most important tasks in the satellite image analysis.
1 code implementation • 16 Dec 2017 • Junghoon Seo, Taegyun Jeon
This report has several purposes.