首页|Study Data from Ningbo University Provide New Insights into Computational Intell igence (Wformer: a Transformer-based Soft Fusion Model for Robust Image Watermar king)
Study Data from Ningbo University Provide New Insights into Computational Intell igence (Wformer: a Transformer-based Soft Fusion Model for Robust Image Watermar king)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning - Co mputational Intelligence have been presented. According to news originating from Ningbo, People’s Republic of China, by NewsRx correspondents, research stated, “Most deep neural network (DNN) based image watermarking models often employ the encoder-noise-decoder structure, in which watermark is simply duplicated for expansion and then directly fused with image features to produce the encoded image . However, simple duplication will generate watermark over-redundancies, and the communication between the cover image and watermark in different domains is lac king in image feature extraction and direction fusion, which degrades the waterm arking performance.”
NingboPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningNingbo University
NETL
NSTL
