April 28, 2022, 1:11 a.m. | Jiahong Zhang, Meijun Qu, Ye Wang, Lihong Cao

cs.LG updates on arXiv.org arxiv.org

Recently, convolutional neural networks (CNNs) and attention mechanisms have
been widely used in image denoising and achieved satisfactory performance.
However, the previous works mostly use a single head to receive the noisy
image, limiting the richness of extracted features. Therefore, a novel CNN with
multiple heads (MH) named MHCNN is proposed in this paper, whose heads will
receive the input images rotated by different rotation angles. MH makes MHCNN
simultaneously utilize features of rotated images to remove noise. We also …

arxiv attention convolutional neural network cv denoising head image network neural network path

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Applied Scientist, Control Stack, AWS Center for Quantum Computing

@ Amazon.com | Pasadena, California, USA

Specialist Marketing with focus on ADAS/AD f/m/d

@ AVL | Graz, AT

Machine Learning Engineer, PhD Intern

@ Instacart | United States - Remote

Supervisor, Breast Imaging, Prostate Center, Ultrasound

@ University Health Network | Toronto, ON, Canada

Senior Manager of Data Science (Recommendation Science)

@ NBCUniversal | New York, NEW YORK, United States