Recent advances in convolutional neural networks

J Gu, Z Wang, J Kuen, L Ma, A Shahroudy, B Shuai… - Pattern recognition, 2018 - Elsevier
In the last few years, deep learning has led to very good performance on a variety of
problems, such as visual recognition, speech recognition and natural language processing …

A survey of convolutional neural networks: analysis, applications, and prospects

Z Li, F Liu, W Yang, S Peng… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
A convolutional neural network (CNN) is one of the most significant networks in the deep
learning field. Since CNN made impressive achievements in many areas, including but not …

Review of deep learning

R Zhang, W Li, T Mo - arXiv preprint arXiv:1804.01653, 2018 - arxiv.org
In recent years, China, the United States and other countries, Google and other high-tech
companies have increased investment in artificial intelligence. Deep learning is one of the …

A survey of the recent architectures of deep convolutional neural networks

A Khan, A Sohail, U Zahoora, AS Qureshi - Artificial intelligence review, 2020 - Springer
Abstract Deep Convolutional Neural Network (CNN) is a special type of Neural Networks,
which has shown exemplary performance on several competitions related to Computer …

A review of convolutional neural networks in computer vision

X Zhao, L Wang, Y Zhang, X Han, M Deveci… - Artificial Intelligence …, 2024 - Springer
In computer vision, a series of exemplary advances have been made in several areas
involving image classification, semantic segmentation, object detection, and image super …

An overview of convolutional neural network: Its architecture and applications

S Sakib, N Ahmed, AJ Kabir, H Ahmed - 2019 - preprints.org
With the increase of the Artificial Neural Network (ANN), machine learning has taken a
forceful twist in recent times. One of the most spectacular kinds of ANN design is the …

Convolutional neural networks: A survey

M Krichen - Computers, 2023 - mdpi.com
Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing
industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of …

A survey on deep learning: convolution neural network (CNN)

M Sahu, R Dash - Intelligent and Cloud Computing: Proceedings of ICICC …, 2021 - Springer
Deep learning is a subfield of machine learning and plays a vital role in the area of image
processing, natural language processing, computer vision, etc. As compared to traditional …

Survey of convolutional neural network

Y Li, Z Hao, H Lei - Journal of Computer Applications, 2016 - joca.cn
In recent years, Convolutional Neural Network (CNN) has made a series of breakthrough
research results in the fields of image classification, object detection, semantic segmentation …

Theoretical understanding of convolutional neural network: Concepts, architectures, applications, future directions

MM Taye - Computation, 2023 - mdpi.com
Convolutional neural networks (CNNs) are one of the main types of neural networks used for
image recognition and classification. CNNs have several uses, some of which are object …