SAT: Self-Adaptive Training For Fashion Compatibility Prediction

With the popularization of online services, a lot of text watermarking algorithm have been proposed to protect the digital documents. However, most of them require extra manual design or text samantic modification. This paper proposes an endto- end font watermarking network which is capable of automatic watermark embedding and extraction without changing the text content. in our scheme, a watermark is generated by changing the font attributes slightly and then embedded as a tiny perturbation. and we extract the watermark by detecting the attribute values of the font image. Experimental results highlight the superiority of the proposed watermarking scheme in terms of imperceptibility and speed comparing to the existing work.