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 limited to computer vision and natural language processing, it attracted much attention both of industry and academia in the past few years. The existing reviews mainly focus on the applications of CNN in different scenarios without considering CNN from a general perspective, and some novel ideas proposed recently are not covered. In this review, we aim to provide novel ideas and prospects in this fast-growing field as much as possible. Besides, not only two-dimensional convolution but also one-dimensional and multi-dimensional ones are involved. First, this review starts with a brief introduction to the history of CNN. Second, we provide an overview of CNN. Third, classic and advanced CNN models are introduced, especially those key points making them reach state-of-the-art results. Fourth, through experimental analysis, we draw some conclusions and provide several rules of thumb for function selection. Fifth, the applications of one-dimensional, two-dimensional, and multi-dimensional convolution are covered. Finally, some open issues and promising directions for CNN are discussed to serve as guidelines for future work.
Learning 3D Mineral Prospectivity from 3D Geological Models Using Convolutional Neural Networks: Application to a Structure-controlled Hydrothermal Gold Deposit
Central South University（中南大学）；Chinese Academy of Geological Sciences（中国地质科学院）
A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis:from Popular Convolutional Neural Networks to Potential Visual Transformers
Northeastern University（东北大学）；Chengdu University of Information Technology（成都信息工程大学）；China Medical University（中国医科大学）；University of Luebeck（吕贝克大学）
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects
University of Messina（墨西拿大学）；Khwaja Fareed University of Engineering and Information Technology（赫瓦贾·法里德工程与信息技术大学）；Jalpaiguri Government Engineering College（杰尔拜古里政府工程学院）；Aerospace Information Research Institute, Chinese Academy of Sciences（中国科学院空天信息创新研究院）；Innopolis University（因诺波利斯大学）；CNRS（法国国家科学研究中心）；Grenoble INP（格勒诺布尔国立高等物理、数学与信息学院）
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
Huazhong University of Science and Technology（华中科技大学）；University of Michigan, Ann Arbor（密歇根大学安娜堡分校）；Youtu Lab, Tencent（腾讯优图实验室）；Singapore Management University（新加坡管理大学）
A Survey on Ordinal Regression: Applications, Advances and Prospects
The Second Affiliated Hospital, Zhejiang University School of Medicine（浙江大学医学院附属第二医院）；Zhejiang Key Laboratory of Medical Imaging Artificial Intelligence（浙江省医学影像人工智能重点实验室）；HKUST (Guangzhou)（香港科技大学（广州））；AntGroup（蚂蚁集团）；University of Notre Dame（圣母大学）
A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects
State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology（智能制造装备与技术国家重点实验室，华中科技大学）；School of Artificial Intelligence and Robotics, Hunan University（人工智能与机器人学院，湖南大学）；Department of Precision Instrument, Tsinghua University（精密仪器系，清华大学）；Geely Automobile Research Institute (Ningbo) Co., Ltd.（吉利汽车研究院（宁波）有限公司）
Deep Learning Empowered Super-Resolution: A Comprehensive Survey and Future Prospects
School of Information and Communication Engineering, University of Electronic Science and Technology of China（信息与通信工程学院，电子科学与技术大学）；Tianjin Key Laboratory of Visual Computing and Intelligent Perception, School of Computer Science, Nankai University（视觉计算与智能感知天津重点实验室，计算机科学学院，南开大学）；Faculty of Mathematics and Computer Science, Weizmann Institute of Science（数学与计算机科学学院，魏兹曼科学研究所）
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects
College of Software, Nankai University Tianjin China；School of Electrical；Electronic Engineering, NTU \& Institute for Infocomm Research, A STAR Singapore；School of Information；College of Computer Science, Nankai University Tianjin China；VCIP, College of Computer Science, Nankai University Tianjin China；Academy for Advanced Interdisciplinary Studies, Nankai University Tianjin China；Nankai International Advanced Research Institute Shenzhen Futian China；College of Software, Nankai University；Electronic Engineering, NTU \& Institute for Infocomm Research, A STAR；College of Computer Science, Nankai University；VCIP, College of Computer Science, Nankai University；Academy for Advanced Interdisciplinary Studies, Nankai University；Nankai International Advanced Research Institute
A Survey on 3D Skeleton Based Person Re-Identification: Taxonomy, Advances, Challenges, and Interdisciplinary Prospects
College of Computing and Data Science, Nanyang Technological University (NTU), Singapore（南洋理工大学计算与数据科学学院，新加坡）；Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), NTU, Singapore（老龄化积极生活卓越研究中心（LILY），南洋理工大学，新加坡）；Alibaba-NTU Global e-Sustainability CorpLab (ANGEL), NTU, Singapore（阿里巴巴-南洋理工大学全球可持续发展企业实验室（ANGEL），南洋理工大学，新加坡）
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer
Northeastern University（东北大学）；University of Luebeck（吕贝克大学）
A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects
School of Software Engineering and the State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi’an Jiaotong University（软件工程学院和人机混合增强智能国家重点实验室，西安交通大学）；School of Computer Science and Technology, Xi’an Jiaotong University（计算机科学与技术学院，西安交通大学）；Information and Communication Engineering,Beijing University of Posts and Telecommunications（信息与通信工程，北京邮电大学）；School of Information Science and Engineering, Southeast University（信息科学与工程学院，东南大学）
