Learning to Detect Multiple Photographic Defects

6 Dec 2016 Ning Yu Xiaohui Shen Zhe Lin Radomir Mech Connelly Barnes

In this paper, we introduce the problem of simultaneously detecting multiple photographic defects. We aim at detecting the existence, severity, and potential locations of common photographic defects related to color, noise, blur and composition... (read more)

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