1 code implementation • 20 Jul 2023 • Jaekyun Ko, Sanghwan Lee
To improve the feasibility of denoising procedures, in this study, we proposed a single-image self-supervised learning method in which only the noisy input image is used for network training.
no code implementations • 25 Nov 2022 • Ali Gohar, Chunming Rong, Sanghwan Lee
We define a simple abstracted concept of isolation levels to capture the variations in isolation requirements and then formulate isolation-aware VNE as an optimization problem with resource and isolation constraints.
1 code implementation • journal 2021 • Jaekyun Ko, Sanghwan Lee
Although this architecture extracts features on different scales and has been shown to yield state-of-the-art performance, it still learns representation locally, resulting in missing overall information of convolutional features.