A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends

arXiv:2402.15490v1 Announce Type: new
Abstract: In today's digital age, Convolutional Neural Networks (CNNs), a subset of Deep Learning (DL), are widely used for various computer vision tasks such as image classification, object detection, and image segmentation. There are numerous types of CNNs designed to meet specific needs and requirements, including 1D, 2D, and 3D CNNs, as well as dilated, grouped, attention, depthwise convolutions, and NAS, among others. Each type of CNN has its unique structure and characteristics, making it suitable …

abstract age applications arxiv challenges classification cnns computer computer vision convolutional neural networks cs.lg cs.ne deep learning detection digital digital age future image networks neural networks segmentation survey tasks trends type types vision