Web: http://arxiv.org/abs/2205.04821

May 11, 2022, 1:10 a.m. | Il Yong Chun, Dongwon Park, Xuehang Zheng, Se Young Chun, Yong Long

cs.CV updates on arXiv.org arxiv.org

Regression that predicts continuous quantity is a central part of
applications using computational imaging and computer vision technologies. Yet,
studying and understanding self-supervised learning for regression tasks -
except for a particular regression task, image denoising - have lagged behind.
This paper proposes a general self-supervised regression learning (SSRL)
framework that enables learning regression neural networks with only input data
(but without ground-truth target data), by using a designable pseudo-predictor
that encapsulates domain knowledge of a specific application. The paper …

applications arxiv denoising domain knowledge imaging knowledge learning regression

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