3 accepted papers
A significant volume of analog information, i.e., documents and images, have been digitized in the form of scanned copies for storing, sharing, and/or analyzing in the digital world. However, the quality of such contents is severely degraded by various distortions caused by printing, storing, and sc…
Filter Decomposition (FD) methods have gained traction in compressing large neural networks by dividing weights into basis and coefficients. Recent advancements have focused on reducing weight redundancy by sharing either basis or coefficients stage-wise. However, traditional sharing approaches have…
Advanced data augmentation strategies have widely been studied to improve the generalization ability of deep learning models. Regional dropout is one of the popular solutions that guides the model to focus on less discriminative parts by randomly removing image regions, resulting in improved regular…