Fully Kernected Neural Networks by Wei Zhang, Zhi Han, Xiai Chen, Baichen Liu, Huidi Jia, Yandong Tang

“…DCNNs have achieved significant improvement in many computer vision tasks. For an image classification task, the accuracy comes to saturation when the depth and width of network are enough and appropriate. …”
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Multidisciplinary ML Techniques on Gesture Recognition for People with Disabilities in a Smart Home Environment by Christos Panagiotou, Evanthia Faliagka, Christos P. Antonopoulos, Nikolaos Voros

“…In this paper, three methods for gesture recognition and computer vision were implemented and tested in order to investigate the most suitable one. …”
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A Modified Fully Convolutional Network for Crack Damage Identification Compared with Conventional Methods by Meng Meng, Kun Zhu, Keqin Chen, Hang Qu

“…With the development of artificial intelligence especially the combination of deep learning and computer vision, greater advantages have been brought to the concrete crack detection based on convolutional neural network (CNN) over the traditional methods. …”
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Automatic Identification and Location of Tunnel Lining Cracks by Pengyu Wang, Shuhong Wang, Alipujiang Jierula

“…It is a new trend to use computer vision to detect tunnel cracks over the past few years in China and foreign countries. …”
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STABILITY CONTROL MODELLING UNDER DYNAMIC MOTION SCENARIO OF A DIFFERENTIAL DRIVE ROBOT by ADEDOTUN O. OWOJORI, KAYODE F. AKINGBADE, WALIU O. APENA, ERASTUS O. OGUNTI

“…Signal analysis and computer vision techniques serve as leverage to make the design achievable. …”
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The Interactive Design of Library Information Sharing in View of Network Communication Technology by Yeping Zhen

“…Understanding the audience’s psychology and behavior characteristics can effectively enhance computer vision interaction and expand the scope of the audience. …”
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Visual Identity-Based Earthquake Ground Displacement Testing Method by Chen Su, Zhao Sicheng, Dai Zhijun, Li Xiaojun, Zhou Yue

“…This paper proposes a high-precision displacement measurement technology based on both computer vision and numerical simulation. During the earthquake, the vision-based testing system collects visual data of the target installed on the location to be observed. …”
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Episodic Reasoning for Vision-Based Human Action Recognition by Maria J. Santofimia, Jesus Martinez-del-Rincon, Jean-Christophe Nebel

“…This work demonstrates the impact that episodic reasoning has in improving the accuracy of a computer vision system for human action recognition. This work also presents formalization, implementation, and evaluation details of the knowledge model that supports the episodic reasoning.…”
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Classification of Buried Objects From Ground Penetrating Radar Images by Using Second-Order Deep Learning Models by Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller

“…We show in a large database that our approach outperform shallow networks designed for GPR data and conventional CNNs typically used in computer vision applications, particularly when the number of training data decreases and in the presence of mislabeled data. …”
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ARTIFICIAL INTELLIGENCE IN AGRICULTURE: CURRENT TRENDS AND INNOVATIONS by Jonathan Masasi, John N. Ng’ombe, Blessing Masasi

“…AI technologies, including machine learning, computer vision, and precision agriculture, are explored. …”
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A REAL TIME FACE RECOGNITION SYSTEM USING ALEXNET DEEP CONVOLUTIONAL NETWORK TRANSFER LEARNING MODEL by LAWRENCE O. OMOTOSHO, IBRAHIM K. OGUNDOYIN, JOSHUA O. OYENIYI, OLUWASHINA A. OYENIRAN

“…In the field of deep learning, facial recognition belongs to the computer vision category. In various applications such as access control system, security, attendance management etc., it has been widely used for authentication and identification purposes. …”
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A systematic review of deep learning techniques for apple leaf diseases classification and detection by Assad Souleyman Doutoum, Bulent Tugrul

“…However, farmers find it difficult to distinguish between different apple leaf diseases since their symptoms are quite similar. Computer vision applications have become an effective tool in recent years for handling these issues. …”
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Color imaging using a system based on 3 diffractive lenses by S. Stepanenko, V. Evdokimova, M. Petrov, R. Skidanov, A. Nikonorov

“…The possibility of essentially reducing the weight and production cost of computer vision systems has led to the publication of a large number of research works dealing with the development of new imaging systems based on diffractive optics. …”
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Few-Shot Contrail Segmentation in Remote Sensing Imagery With Loss Function in Hough Space by Junzi Sun, Esther Roosenbrand

“…Identification of contrail formation through satellite images has been an ongoing research challenge. Traditional computer vision techniques struggle with varying imagery conditions, and supervised machine learning approaches often require a large amount of hand-labeled images. …”
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Graphic Perception System for Visually Impaired Groups by Jingzi Wen

“…Image object recognition is a basic task in the field of computer vision. In recent years, deep neural networks have promoted the development of image object recognition. …”
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Deep Learning-Based Dzongkha Handwritten Digit Classification by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

“… In computer vision applications, pattern recognition is one of the important fields in artificial intelligence. …”
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Mixture Augmented Lagrange Multiplier Method for Tensor Recovery and Its Applications by Huachun Tan, Bin Cheng, Jianshuai Feng, Li Liu, Wuhong Wang

“…., tensors) arises in many fields such as computer vision, image processing, and traffic data analysis. …”
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Sex estimation techniques based on skulls in forensic anthropology: A scoping review. by Xindi Wang, Guihong Liu, Qiushuo Wu, Yazi Zheng, Feng Song, Yuan Li

“…It is anticipated that advancements in 3D imaging and computer vision techniques will facilitate further breakthroughs in this field of research.…”
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Color Image Segmentation Using Fuzzy C-Regression Model by Min Chen, Simone A. Ludwig

“…Image segmentation is one important process in image analysis and computer vision and is a valuable tool that can be applied in fields of image processing, health care, remote sensing, and traffic image detection. …”
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Spatial Object Tracking Using an Enhanced Mean Shift Method Based on Perceptual Spatial-Space Generation Model by Pengcheng Han, Junping Du, Ming Fang

“…Object tracking is one of the fundamental problems in computer vision, but existing efficient methods may not be suitable for spatial object tracking. …”
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