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cs.CV2021
SauvolaNet: Learning Adaptive Sauvola Network for Degraded Document Binarization
Deng Li, Yue Wu, Yicong Zhou
Inspired by the classic Sauvola local image thresholding approach, we systematically study it from the deep neural network (DNN) perspective and propose a new solution called Sauvo…
cs.CV2021★ 4 cited
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer
Jiaxin Cheng, Ayush Jaiswal, Yue Wu +2
Neural Style Transfer (NST) has quickly evolved from single-style to infinite-style models, also known as Arbitrary Style Transfer (AST). Although appealing results have been widel…