Reading: VRCNN-BN — Variable-filter-size Residue-learning Convolutional Neural Network with Batch…

Original article was published on Deep Learning on Medium

Reading: VRCNN-BN — Variable-filter-size Residue-learning Convolutional Neural Network with Batch Normalization (Codec Filtering)

VRCNN-BN as Out-of-loop Filter

In this story, Variable-filter-size Residue-learning Convolutional Neural Network with Batch Normalization (VRCNN-BN), by Shanghai University, and Shanghai University of Engineering Science, is briefly described. It is a post-processing out-of-loop filter instead of an in-loop filter. This is a paper in 2020 ACCESS which is an open access journal with high impact factor of 4.098. (Sik-Ho Tsang @ Medium)