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cs.CV2023
Scribble-supervised Cell Segmentation Using Multiscale Contrastive Regularization
Hyun-Jic Oh, Kanggeun Lee, Won-Ki Jeong
Current state-of-the-art supervised deep learning-based segmentation approaches have demonstrated superior performance in medical image segmentation tasks. However, such supervised…
cs.CV2023
I2V: Towards Texture-Aware Self-Supervised Blind Denoising using Self-Residual Learning for Real-World Images
Kanggeun Lee, Kyungryun Lee, Won-Ki Jeong
Although the advances of self-supervised blind denoising are significantly superior to conventional approaches without clean supervision in synthetic noise scenarios, it shows poor…
cs.CV2021
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising
Kanggeun Lee, Won-Ki Jeong
With the advent of advances in self-supervised learning, paired clean-noisy data are no longer required in deep learning-based image denoising. However, existing blind denoising me…