Narayanan Ganesh1, Rajendran Shankar2, Miroslav Mahdal3, Janakiraman Senthil Murugan4, Jasgurpreet Singh Chohan5, Kanak Kalita6,*
CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.028018
Abstract Computer vision (CV) was developed for computers and other systems to act or make recommendations based on
visual inputs, such as digital photos, movies, and other media. Deep learning (DL) methods are more successful
than other traditional machine learning (ML) methods in CV. DL techniques can produce state-of-the-art results for
difficult CV problems like picture categorization, object detection, and face recognition. In this review, a structured
discussion on the history, methods, and applications of DL methods to CV problems is presented. The sector-wise
presentation of applications in this paper may be particularly useful for researchers in niche fields who have… More >