Deep Learning for Robust and Explainable Models in Computer Vision

arXiv:2403.18674v1 Announce Type: new
Abstract: Recent breakthroughs in machine and deep learning (ML and DL) research have provided excellent tools for leveraging enormous amounts of data and optimizing huge models with millions of parameters to obtain accurate networks for image processing. These developments open up tremendous opportunities for using artificial intelligence (AI) in the automation and human assisted AI industry. However, as more and more models are deployed and used in practice, many challenges have emerged. This thesis presents various …

abstract artificial arxiv computer computer vision cs.cv data deep learning image image processing machine networks opportunities parameters processing research robust tools type vision