Robotics & Machine Learning Daily News2024,Issue(Oct.24) :59-60.

Study Data from Ningbo University Provide New Insights into Computational Intell igence (Wformer: a Transformer-based Soft Fusion Model for Robust Image Watermar king)

Robotics & Machine Learning Daily News2024,Issue(Oct.24) :59-60.

Study Data from Ningbo University Provide New Insights into Computational Intell igence (Wformer: a Transformer-based Soft Fusion Model for Robust Image Watermar king)

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Abstract

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.”

Key words

Ningbo/People’s Republic of China/Asia/Computational Intelligence/Machine Learning/Ningbo University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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