An Adversarial Attack via Penalty Method by Jiyuan Sun, Haibo Yu, Jianjun Zhao

“…There has been extensive research regarding the generation of and defense against adversarial examples in computer vision tasks, and existing attacking methods based on optimization fall into two categories: maximizing the loss and minimizing the perturbation size. …”
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Identification of Civil Infrastructure Damage Using Ensemble Transfer Learning Model by A. Shamila Ebenezer, S. Deepa Kanmani, V. Sheela, K. Ramalakshmi, V. Chandran, M. G. Sumithra, B. Elakkiya, Bharani Murugesan

“…The number of experts capable of evaluating such structural damage is inadequate. As a result, computer vision-based techniques for automatic damage detection have been developed. …”
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MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition by S. Raghavendra, S. K. Abhilash, Venu Madhav Nookala, Jayashree Shetty, Praveen Gurunath Bharathi

“…Multi-label attribute recognition is a critical task in computer vision, with applications ranging across diverse fields. …”
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Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection by L. Meziou, A. Histace, F. Precioso, O. Romain, X. Dray, B. Granado, B. J. Matuszewski

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Rehabilitation monitoring and assessment: a comparative analysis of feature engineering and machine learning algorithms on the UI-PRMD and KIMORE benchmark datasets by Moamen Zaher, Amr S. Ghoneim, Laila Abdelhamid, Ayman Atia

“…Current rehabilitation research often lacks advanced computational techniques to automate exercise assessment, relying heavily on time-consuming and costly in-person sessions. This study uses computer vision and classical machine learning (ML) to monitor and evaluate physical rehabilitation exercises using skeletal data. …”
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CPT Model-Based Prediction of the Temporal and Spatial Distributions of Passenger Flow for Urban Rail Transit under Emergency Conditions by Wei Li, Min Zhou, Hairong Dong

“…Urban rail transit operating units currently use video surveillance information mainly to process emergencies and rarely use computer vision technology to analyze passenger flow information collected. …”
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Quality of Cattle Meat and Its Compositional Constituents by Umer Seid Geletu, Munera Ahmednur Usmael, Yesihak Yusuf Mummed, Abdulmuen Mohammed Ibrahim

“…Other methods such as computer vision and imaging spectroscopy, gas chromatographic analysis, near-infrared technology, dual-energy X-ray absorptiometry, and computerized tomography scanning are also used in the meat industry. …”
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Hybrid Intersection Over Union Loss for a Robust Small Object Detection in Low-Light Conditions by Twahir Kiobya, Junfeng Zhou, Baraka Maiseli, Maqbool Khan

“…In computer vision, most existing works about object detection focus on detecting objects in the good lighting conditions instead of low-light conditions. …”
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Position Determination for Dynamic Scenes With Unsynchronized Image Sequences by Kai Guo, Rui Cao, Chenyang Yue, Xin Zhou, Boyu Liu

“…Solving the stereo camera synchronization problem or estimating the temporal offset for dynamic scenes in triangulation is crucial in computer vision and photogrammetry. However, for cheap cameras like webcams, or cameras with long distance, synchronization is costly and complex. …”
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Clinical Whole-Body Gait Characterization Using a Single RGB-D Sensor by Lukas Boborzi, Johannes Bertram, Roman Schniepp, Julian Decker, Max Wuehr

“…However, the gold-standard marker-based 3D motion analysis is limited by high time and personnel demands. Advances in computer vision now enable markerless whole-body tracking with high accuracy. …”
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Localization of mobile robot in prior 3D LiDAR maps using stereo image sequence by I.V. Belkin, A.A. Abramenko, V.D. Bezuglyi, D.A. Yudin

“…A novel localization approach for mobile ground robot, which successfully combines conventional computer vision techniques, neural network based image analysis and numerical optimization, is proposed. …”
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Breaking New Ground in Monocular Depth Estimation with Dynamic Iterative Refinement and Scale Consistency by Akmalbek Abdusalomov, Sabina Umirzakova, Makhkamov Bakhtiyor Shukhratovich, Azamat Kakhorov, Young-Im Cho

“…Monocular depth estimation (MDE) is a critical task in computer vision with applications in autonomous driving, robotics, and augmented reality. …”
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Image Evolution Using 2D Power Spectra by Michael Gircys, Brian J. Ross

“…In an attempt to bridge the divide between computer vision and cognitive perception, we propose the use of measures related to image spatial frequencies. …”
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Automatic Detection and Classification of Eye Diseases from Retinal Images Using Deep Learning: A Comprehensive Research on the ODIR Dataset by Asadi Srinivasulu, Clement Varaprasad Karu, G Sreenivasulu, Gayathri R

“…Addressing this, an automatic and efficient retinal vessel segmentation method is urgently needed, utilizing computer vision techniques. Existing approaches include machine learning, filtering-based, and model-based methods. …”
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A Simple Polarization-Based Fringe Projection Profilometry Method for Three-Dimensional Reconstruction of High-Dynamic-Range Surfaces by Xiang Sun, Zhenjun Luo, Shizhao Wang, Jianhua Wang, Yunpeng Zhang, Dandan Zou

“…Three-dimensional (3D) reconstruction of high-dynamic-range (HDR) surfaces plays an important role in the fields of computer vision and image processing. Traditional 3D measurement methods often face the risk of information loss when dealing with surfaces that have HDR characteristics. …”
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Features to Text: A Comprehensive Survey of Deep Learning on Semantic Segmentation and Image Captioning by Ariyo Oluwasammi, Muhammad Umar Aftab, Zhiguang Qin, Son Tung Ngo, Thang Van Doan, Son Ba Nguyen, Son Hoang Nguyen, Giang Hoang Nguyen

“…With the emergence of deep learning, computer vision has witnessed extensive advancement and has seen immense applications in multiple domains. …”
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Firefighting with Conductive Aerosol-Assisted Vortex Rings by John LaRocco, Qudsia Tahmina, Stanley Essel, John Simonis

“…Further investigation of the concept requires a systematic examination of other types of fires, electronic optimization, permutations of chemicals and concentrations, other types of vortex generation, and human factors. The computer vision system could also be used to further detect and target active fires. …”
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Gamma Precorrection and Phase Error Compensation Methods Based on Three-Frequency with Three-Phase Shift by Wei Feng, Shaojing Tang, Shinan Xu, Tong Qu, Daxing Zhao

“…Digital fringe projection measurement technology has been widely used in computer vision and optical three-dimensional (3D) measurement. …”
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Context-Aware Fine-Grained Product Recognition on Grocery Shelves by Lovre Antonio Budimir, Zoran Kalafatic, Marko Subasic, Sven Loncaric

“…This task is very challenging in computer vision, whereas humans solve it more effortlessly by relying on contextual information. …”
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Autonomous Streaming Space Objects Detection Based on a Remote Optical System by V. S. Baranova, V. A. Saetchnikov, A. A. Spiridonov

“…Under laboratory conditions, the satellite trajectory had simulated for an initial assessment of the compiled algorithmic modules of the computer vision library OpenCV.Based on the simulation results, dynamic detection of the International Space Station in real-time from the observation site with coordinates longitude 25o41′49″ East, latitude 53o52′36″ North in the interval 00:54:00–00:54:30 17.07.2021 (UTC + 03:00) had performed. …”
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