Lightweight remote sensing ship detection algorithm based on YOLOv5s by Haochen WANG, Yuelan XIN, Jiang GUO, Qingqing WANG

“…MethodsFirst, the backbone network adopts the ShuffleNet v2 block stacking method, effectively reducing the number of network model parameters and improving the computational speed; second, a region selection module filter is designed to select regions of interest and extract effective features more fully; finally, a circular smooth label is introduced to calculate angle loss and perform rotation detection on remote sensing ship targets, while deformable convolution is used to adapt to geometric deformation and improve detection performance. …”
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PA-YOLO-Based Multifault Defect Detection Algorithm for PV Panels by Wang Yin, Zhao Jingyong, Xie Gang, Zhao Zhicheng, Hu Xiao

“…For the occlusion problem of dense targets in the dataset, we introduce a repulsive loss function, which successfully reduces the occurrence of false detection situations. Finally, we propose a customized convolutional block equipped with an EMA mechanism to enhance the perceptual and expressive capabilities of the model. …”
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Multi-factor consideration sample assignment for oriented tiny object detection by Jun Miao, Peng Liu, Yuanhua Qiao

“…Abstract Tiny object detection in aerial image is crucial for urban planning and environmental monitoring. …”
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IMP‐DETR: Optimization model for defect detection of injection‐moulded products by Anzhan Liu, Lei Han

“…An injection‐moulded product defect detection model, injection‐moulded product‐detection transformer (IMP‐DETR), is proposed to address the challenges of diversity, small size, and complex background in injection‐moulded products. …”
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Hierarchical Knowledge Transfer: Cross-Layer Distillation for Industrial Anomaly Detection by Junning Xu, Sanxin Jiang

“…There are two problems with traditional knowledge distillation methods in industrial anomaly detection: first, traditional methods mostly use feature alignment between the same layers. …”
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Estimating cover image for universal payload region detection in stego images by Punam Bedi, Anuradha Singhal

“…Hence this paper proposes a novel technique for detection of payload regions in a stego image combining Denoising Autoencoder with Local Binary Pattern (LBP) Operator. …”
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Improvement of RT-DETR model for ground glass pulmonary nodule detection. by Siyuan Tang, Qiangqiang Bao, Qingyu Ji, Tong Wang, Naiyu Wang, Min Yang, Yu Gu, Jinliang Zhao, Yuhan Qu, Siriguleng Wang

“…This article proposed an algorithm based on RT-DETR model with the following enhancement: 1) optimize the backbone network with FCGE blocks to increase the detection accuracy of small-sized and blurred edge nodules; 2) replace the AIFI module with HiLo-AIFI module to reduce redundant computation and improve the detection accuracy of pure ground glass pulmonary nodules and mixed ground glass pulmonary nodules; 3) replace the DGAK module with CCFF module to address the issue of capturing complex features and recognition of irregularly shaped ground glass nodules. …”
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WoodenCube: An Innovative Dataset for Object Detection in Concealed Industrial Environments by Chao Wu, Shilong Li, Tao Xie, Xiangdong Wang, Jiali Zhou

“…Although traditional RGB-based object-detection models have achieved remarkable success in many fields, they still face the challenge of effectively detecting targets with textures similar to the background. …”
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An Object Detection Algorithm for Orchard Vehicles Based on AGO-PointPillars by Pengyu Ren, Xuyun Qiu, Qi Gao, Yumin Song

“…Finally, we establish an orchard object detection dataset and validate the proposed algorithm. …”
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Heuristic thermal sensor allocation methods for overheating detection of real microprocessors by Xin Li, Xueting Wei, Wei Zhou

“…In this study, the authors first establish overheating detection models to address the thermal sensor allocation problem under two different conditions when the on‐chip thermal sensor observations are corrupted by noise. …”
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Detection of Abnormal Symptoms Using Acoustic-Spectrogram-Based Deep Learning by Seong-Yoon Kim, Hyun-Min Lee, Chae-Young Lim, Hyun-Woo Kim

“…In this study, we propose a method for detecting abnormal symptoms by converting acoustic data into spectrogram representations and applying a deep learning model. …”
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Lightweight Insulator and Defect Detection Method Based on Improved YOLOv8 by Yanxing Liu, Xudong Li, Ruyu Qiao, Yu Chen, Xueliang Han, Agyemang Paul, Zhefu Wu

“…Thirdly, a convolutional block attention mechanism is integrated into the feature extraction module to enhance the detection of small insulator targets in aerial images. …”
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Edge-Optimized Lightweight YOLO for Real-Time SAR Object Detection by Caiguang Zhang, Ruofeng Yu, Shuwen Wang, Fatong Zhang, Shaojia Ge, Shuangshuang Li, Xuezhou Zhao

“…To address these challenges, this paper proposes a lightweight SAR object detection method optimized for edge devices. First, we design an efficient backbone network based on inverted residual blocks and the information bottleneck principle, achieving an optimal balance between feature extraction capability and computational resource consumption. …”
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ACD-Net: An Abnormal Crew Detection Network for Complex Ship Scenarios by Zhengbao Li, Heng Zhang, Ding Gao, Zewei Wu, Zheng Zhang, Libin Du

“…This paper proposes an abnormal crew detection network for complex ship scenarios (ACD-Net), which uses a two-stage algorithm to detect and identify abnormal crew members in real-time. …”
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Improving Pedestrian Hybrid Beacon Crosswalk by Using Upstream Detection Strategy by Zhen Yang, Baojie Wang, Xingchen Yan, Jianxiao Ma, Wenyun Tang

“…This study applied an upstream detection (UD) strategy to PHB to reduce the pedestrian waiting time at the crossing. …”
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Forest Fire Detection Algorithm Based on Improved YOLOv11n by Kangqian Zhou, Shuihai Jiang

“…To address issues in traditional forest fire detection models, such as large parameter sizes, slow detection speed, and unsuitability for resource-constrained devices, this paper proposes a forest fire detection method, FEDS-YOLOv11n, based on an improved YOLOv11n model. …”
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Applications of aeromagnetic data to detect the Basement Tectonics of Eastern Yemen region by Ahmed S. Abu El-Ata, Ahmed A. EI-Khafeef, Ashraf E. Ghoneimi, Sami H. Abd Alnabi, Marwan A. Al-Badani

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Lightweight Detection of Train Underframe Bolts Based on SFCA-YOLOv8s by Zixiao Li, Jinjin Li, Chuanlong Zhang, Huajun Dong

“…By combining the C2f module with ScConv lightweight convolution and replacing the Bottleneck structure with the Faster_Block structure, the SFC2f module is designed for feature extraction to improve detection accuracy and speed. …”
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Multi-defect detection and classification for aluminum alloys with enhanced YOLOv8. by Ying Han, Xingkun Li, Gongxiang Cui, Jie Song, Fengyu Zhou, Yugang Wang

“…However, state-of-the-art material defect detection methods have low detection accuracy and inaccurate defect target frame problems. …”
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A lightweight MHDI-DETR model for detecting grape leaf diseases by Zilong Fu, Lifeng Yin, Can Cui, Yi Wang

“…Accurate diagnosis of grape leaf diseases is critical in agricultural production, yet existing detection techniques face challenges in achieving model lightweighting while ensuring high accuracy. …”
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