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Wonho Bae
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Better to follow, follow to be better: Towards precise supervision of feature super-resolution for small object detection
J Noh, W Bae, W Lee, J Seo, G Kim
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
772019
Rethinking class activation mapping for weakly supervised object localization
W Bae, J Noh, G Kim
European Conference on Computer Vision, 618-634, 2020
612020
Prediction of the mortality risk in peritoneal dialysis patients using machine learning models: a nation-wide prospective cohort in Korea
J Noh, KD Yoo, W Bae, JS Lee, K Kim, JH Cho, H Lee, DK Kim, CS Lim, ...
Scientific reports 10 (1), 1-11, 2020
132020
LID 2020: The learning from imperfect data challenge results
Y Wei, S Zheng, MM Cheng, H Zhao, L Wang, E Ding, Y Yang, A Torralba, ...
arXiv preprint arXiv:2010.11724, 2020
22020
Revisiting Class Activation Mapping for Learning from Imperfect Data
W Bae, J Noh, J Seo, G Kim
The 2020 Learning from Imperfect Data (LID) Challenge - CVPR Workshop, 2020
12020
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
MA Mohamadi, W Bae, DJ Sutherland
arXiv e-prints, arXiv: 2206.12569, 2022
2022
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model
W Bae, J Noh, MJ Asadabadi, DJ Sutherland
arXiv preprint arXiv:2205.01233, 2022
2022
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