Wind Turbine Surface Crack Detection Based on YOLOv5l-GCB by Feng Hu, Xiaohui Leng, Chao Ma, Guoming Sun, Dehong Wang, Duanxuan Liu, Zixuan Zhang

“…Ghost Network Version 2 (GhostNetV2) is integrated into the backbone of YOLOv5l to realize lightweighting of the backbone, which simplifies the complexity of the model and enhances the inference speed; the Convolutional Block Attention Module (CBAM) is added to strengthen the attention of the model to the target region; and the bidirectional feature pyramid network (BiFPN) has been developed for the purpose of enhancing the model’s detection accuracy in complex scenes. …”
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An Accurate Book Spine Detection Network Based on Improved Oriented R-CNN by Haibo Ma, Chaobo Wang, Ang Li, Aide Xu, Dong Han

“…Book localization is crucial for the development of intelligent book inventory systems, where the high-precision detection of book spines is a critical requirement. …”
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HAFREE: A Heatmap-Based Anchor-Free Detector for Apple Defect Detection by Nguyen Bui Ngoc Han, Ju-Hwan Lee, Dang Thanh Vu, Iqbal Murtza, Hyoung-Gook Kim, Jin-Young Kim

“…We introduce a multiscale feature fusion block, targeting small objects by incorporating local and global contextual information. …”
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Detection of Human Immunodeficiency Virus in Saliva Using a Nickel-Based Electrocatalyst by Dipu Saha, Ashwin Ramanujam, Gerardine G. Botte

“…Current methods cannot reliably detect HIV in saliva samples due to the low concentration of viral particles in oral fluid. …”
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SCoralDet: Efficient real-time underwater soft coral detection with YOLO by Zhaoxuan Lu, Lyuchao Liao, Xingang Xie, Hui Yuan

“…To address these challenges, we propose SCoralDet, a soft coral detection model based on the YOLO architecture. First, we introduce a Multi-Path Fusion Block (MPFB) to capture coral features across multiple scales, enhancing the model’s robustness to uneven lighting and image blurring. …”
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Automatic detection of foreign object intrusion along railway tracks based on MACENet. by Xichun Chen, Yu Tian, Ming Li, Bin Lv, Shuo Zhang, Zixian Qu, Jianqing Wu, Shiya Cheng

“…Ensuring high accuracy and efficiency in foreign object intrusion detection along railway lines is critical for guaranteeing railway operational safety under limited resource conditions. …”
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PCPE-YOLO with a lightweight dynamically reconfigurable backbone for small object detection by Weijia Chen, Jiaming Liu, Tong Liu, Yaoming Zhuang

“…Abstract In the domain of object detection, small object detection remains a pressing challenge, as existing approaches often suffer from limited accuracy, high model complexity, and difficulty meeting lightweight deployment requirements. …”
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SDA-YOLO: An Object Detection Method for Peach Fruits in Complex Orchard Environments by Xudong Lin, Dehao Liao, Zhiguo Du, Bin Wen, Zhihui Wu, Xianzhi Tu

“…Second, an MPDIoU-based bounding box regression loss function replaces CIoU to improve localization accuracy for overlapping and occluded peaches. The DyHead Block is integrated into the detection head to form a DMDetect module, strengthening feature discrimination for small and occluded targets in complex backgrounds. …”
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Research on downhole drilling target detection based on improved Yolov8n by Jierui Ling, Zhibo Fu, Xinpeng Yuan

“…To monitor the drilling process in real time and enhance the efficiency of target detection at underground coal mine drill sites, an improved algorithm based on Yolov8n has been proposed, which offers advantages compared with the traditional detection methods. …”
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An Improved YOLOv9 and Its Applications for Detecting Flexible Circuit Boards Connectors by Gengjie Huang, Yinbing Huang, Haoyang Li, Ziwen Guan, Xuecong Li, Guidong Zhang, Wendong Li, Xiran Zheng

“…In automatic defect detection, FPC connectors present challenges such as minimal differences between oxidation defects and the background, easy degradation of Intersection over Union (IoU) scores, and significant variations in the shapes of black defect boundaries. …”
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Electricity-free amplification and detection for molecular point-of-care diagnosis of HIV-1. by Jered Singleton, Jennifer L Osborn, Lorraine Lillis, Kenneth Hawkins, Dylan Guelig, Will Price, Rachel Johns, Kelly Ebels, David Boyle, Bernhard Weigl, Paul LaBarre

“…Together, these elements are building blocks for an electricity-free platform capable of isothermal amplification and detection of a variety of pathogens.…”
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YOLO-SR: An optimized convolutional architecture for robust ship detection in SAR Imagery by Chi Kien Ha, Hoanh Nguyen, Vu Duc Van

“…Abstarct: Accurate and efficient ship detection in synthetic aperture radar (SAR) imagery remains a challenging task due to speckle noise, scale variations, and the low contrast of small vessels. …”
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An Enhanced Feature-Fusion Network for Small-Scale Pedestrian Detection on Edge Devices by Min Hu, Yaorong Zhang, Teng Jiao, Huijun Xue, Xue Wu, Jianguo Luo, Shipeng Han, Hao Lv

“…Small-scale pedestrian detection is one of the challenges in general object detection. …”
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Real-Time Lightweight Morphological Detection for Chinese Mitten Crab Origin Tracing by Xiaofei Ma, Nannan Shen, Yanhui He, Zhuo Fang, Hongyan Zhang, Yun Wang, Jinrong Duan

“…In the first stage, an improved YOLOv10n-based model is designed by incorporating omni-dimensional dynamic convolution, a SlimNeck structure, and a Lightweight Shared Convolutional Detection head, which effectively enhances the detection accuracy of crab targets under complex multi-scale environments while reducing computational cost. …”
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A Rapid Concrete Crack Detection Method Based on Improved YOLOv8 by Yongzhen Wang, Jiacong He

“…Furthermore, the introduction of the GF_Detect detection head significantly reduces the number of model parameters while improving detection performance. …”
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MDIGCNet: Multidirectional Information-Guided Contextual Network for Infrared Small Target Detection by Luping Zhang, Junhai Luo, Yian Huang, Fengyi Wu, Xingye Cui, Zhenming Peng

“…Infrared small target detection (ISTD) technology has extensive applications in the military field. …”
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OW-YOLO: An Improved YOLOv8s Lightweight Detection Method for Obstructed Walnuts by Haoyu Wang, Lijun Yun, Chenggui Yang, Mingjie Wu, Yansong Wang, Zaiqing Chen

“…The model’s backbone was restructured with the integration of the DWR-DRB (Dilated Weighted Residual-Dilated Residual Block) module. To enhance efficiency and multi-scale feature fusion, we incorporated the HSFPN (High-Level Screening Feature Pyramid Network) and redesigned the detection head by replacing the original head with the more efficient LADH detection head while removing the head processing 32 × 32 feature maps. …”
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Design tasks and their complexity for the European Train Control System with Hybrid Train Detection by Stefan Engels, Tom Peham, Judith Przigoda, Nils Przigoda, Robert Wille

“…While most signaling systems rely on fixed blocks defined by costly hardware, new specifications provided by Level 2 with Hybrid Train Detection of the European Train Control System (ETCS L2 HTD), formerly known as ETCS Hybrid Level 3, allow the usage of virtual subsections. …”
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Curriculum-Guided Adversarial Learning for Enhanced Robustness in 3D Object Detection by Jinzhe Huang, Yiyuan Xie, Zhuang Chen, Ye Su

“…The pursuit of robust 3D object detection has emerged as a critical focus within the realm of computer vision. …”
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STLNet: Symmetric Transformer Learning Network for Remote Sensing Image Change Detection by Liye Mei, Andong Huang, Zhaoyi Ye, Yaxiaer Yalikun, Ying Wang, Chuan Xu, Wei Yang, Xinghua Li

“…The LGD employs a multilevel semantic feature integration from the encoder to augment feature representation and interdependencies, crucial for detailing small changed areas effectively via a hierarchical attentional fusion block. Ultimately, the detection of changes is based on the rich semantic information provided by the LGD, enabling us to achieve enhanced precision in our remote sensing CD efforts. …”
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