Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
computer vision and pattern recognition, pp. 1788-1797, 2018.
We have proposed STacked Conditional Generative Adversarial Network to jointly learn shadow detection and shadow removal
Understanding shadows from a single image consists of two types of task in previous studies, containing shadow detection and shadow removal. In this paper, we present a multi-task perspective, which is not embraced by any existing work, to jointly learn both detection and removal in an end-to-end fashion that aims at enjoying the mutually...More
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