GCS-YOLO: A Lightweight Detection Algorithm for Grape Leaf Diseases Based on Improved YOLOv8 by Qiang Hu, Yunhua Zhang

“…The lightweight feature extraction module C2f-GR is proposed to replace the C2f module. …”
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A novel pansharpening method based on cross stage partial network and transformer by Yingxia Chen, Huiqi Liu, Faming Fang

“…Finally, a residual learning module incorporating attention has been devised to augment the modeling and feature extraction capabilities of images. …”
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EAD-YOLOv10: Lightweight Steel Surface Defect Detection Algorithm Research Based on YOLOv10 Improvement by Hu Haoyan, Tong Jinwu, Wang Haibin, Lu Xinyun

“…In response to the issues of low detection accuracy (DA), slow speed, and missed detections caused by the complex texture background and diverse shapes of surface defects (SD) in steel, this paper designs an improved lightweight YOLOv10 model called EAD-YOLOv10. …”
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Research on Detection and Counting Method of Green Walnut Based on YOLOv8n-RBP by Bangbang Chen, Keke Tan, Kun Li, Baojian Ma, Xiangdong Liu

“…First, a receptive field-concentrated attention module (RFCBAM) is integrated into the backbone network to enhance feature extraction capabilities. …”
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Unsupervised learning-based panoramic unfolded image stitching method for rock mass borehole wall by XIAO Yu, LI Zehao, WANG Chao

“…A global and local deformation offset calculation network module precisely aligned spatial features of the images. …”
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Integrated and improved YOLOv8 and triangulated network method for extracting indicators in open-pit mine mining areas by LI Tianwen, LI Gongquan, LI Juntao

“…To address these issues, an improved method for extracting mining field indicators by integrating YOLOv8 with a triangulated network was proposed. …”
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The analysis of sculpture image classification in utilization of 3D reconstruction under K-means++ by Xuhui Wang

“…Abstract This study aims to address the issues of accuracy and efficiency in sculpture image classification. …”
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IoT-Based Smart Utility Control System by Khansa niazi, Waleed Ahmad, Muhammad Hassan Nadeem

“…The system is designed to ensure convenience, promote resource conservation, and support households in addressing challenges related to resource scarcity and rising costs, particularly in economically vulnerable regions. With two key modules, our proposed solution addresses critical issues households in Pakistan and similar regions face. …”
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Image restoration for ring-array photoacoustic tomography based on an attention mechanism driven conditional generative adversarial network by Wende Dong, Yanli Zhang, Luqi Hu, Songde Liu, Chao Tian

“…We further incorporate a gamma correction module to enhance the contrast of the network’s output. …”
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BAFL-SVM: A blockchain-assisted federated learning-driven SVM framework for smart agriculture by Ruiyao Shen, Hongliang Zhang, Baobao Chai, Wenyue Wang, Guijuan Wang, Biwei Yan, Jiguo Yu

“…The BAFL-SVM is composed of the FedSVM-RiceCare module and the FedPrivChain module. Specifically, in FedSVM-RiceCare, we utilize federated learning and SVM to train the model, improving the accuracy of the experiment. …”
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Complementary Local–Global Optimization for Few-Shot Object Detection in Remote Sensing by Yutong Zhang, Xin Lyu, Xin Li, Siqi Zhou, Yiwei Fang, Chenlong Ding, Shengkai Gao, Jiale Chen

“…Specifically, we design an Extensible Local Feature Aggregator Module (ELFAM) that reconstructs object structures via multi-scale recursive attention aggregation. …”
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Downhole Coal–Rock Recognition Based on Joint Migration and Enhanced Multidimensional Full-Scale Visual Features by Bin Jiao, Chuanmeng Sun, Sichao Qin, Wenbo Wang, Yu Wang, Zhibo Wu, Yong Li, Dawei Shen

“…Additionally, a multi-scale luminance adjustment module is integrated to merge features across perceptual ranges, mitigating localized brightness anomalies such as overexposure. …”
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A novel edge-feature attention fusion framework for underwater image enhancement by Shuai Shen, Haoyi Wang, Weitao Chen, Pingkang Wang, Qianyong Liang, Xuwen Qin, Xuwen Qin

“…The method comprises three modules: 1) an Attention-Guided Edge Feature Fusion Module that extracts edge information via edge operators and enhances object detail through multi-scale feature integration with channel-cross attention to resolve edge blurring; 2) a Spatial Information Enhancement Module that employs spatial-cross attention to capture spatial interrelationships and improve semantic representation, mitigating low signal-to-noise ratio; and 3) Multi-Dimensional Perception Optimization integrating perceptual, structural, and anomaly optimizations to address detail blurring and low contrast. …”
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DBDB: de-bimodal defocus blur in joint infrared-visible imaging by Zhe Cao, Lixin Xu, Jin Zhang, Biwen Yang, Kaizheng Chen, Ruiheng Zhang

“…In the latter case, the relative nature of the blur effect can lead to ambiguity in determining which modality’s information should be prioritized for guidance, and conflicts may arise between the clear components of the blurred image and the blurry components of the clear image. To address these issues, we propose the first de-bimodal defocus blur (DBDB) method, which consists of a low-frequency semantic hold (LSH) module with a pre-trained infrared model and a cross-modal complementary feature induction (CCFI) module driven by a max-min blur entropy loss. …”
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PATNet: Permute attention and transformer-enhanced network for segmentation of musculoskeletal ultrasound images by Yating Wu, Feng Bu, Jin Tian, Li Zhao, Guangfei Yang, Jianming Lu

“…To address the above issues, this paper proposes a deep learning model called PATNet (Permute Attention and Transformer-Enhanced Network for Segmentation of Musculoskeletal Ultrasound Images). …”
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Self-Supervised Enhancement Method for Multi-Behavior Session-Based Recommendation by Zhen Zhang, Jingai Zhang, Jintao Chen, Yuzhao Huang, Xiaoyang Huang

“…Concurrently, we propose a self-supervised training method for the module that mitigates location bias and minimizes the impact of noisy behaviors. …”
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DGFEG: Dynamic Gate Fusion and Edge Graph Perception Network for Remote Sensing Change Detection by Shengning Zhou, Genji Yuan, Zhen Hua, Jinjiang Li

“…Second, a dynamic gate fusion module is introduced to dynamically weight and fuse the concatenated and differential features obtained by the encoder, enhancing the semantic representation of actual building change regions. …”
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Joint feature representation optimization and anti-occlusion for robust multi-vessel tracking in inland waterways by Shenjie Zou, Jin Liu, Xiliang Zhang, Zhongdai Wu, Jing Liu, Bing Han

“…Specifically, we present a Motion-Matching Optimization Module (MMOM), which handles long-term occlusion through identity matching between consecutive frames. …”
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MSOAR-YOLOv10: Multi-Scale Occluded Apple Detection for Enhanced Harvest Robotics by Heng Fu, Zhengwei Guo, Qingchun Feng, Feng Xie, Yijing Zuo, Tao Li

“…Additionally, a Diverse Branch Block (DBB) module is introduced to enhance the performance of the convolutional neural network. …”
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SEANet: Semantic Enhancement and Amplification for Underwater Object Detection in Complex Visual Scenarios by Ke Yang, Xiao Wang, Wei Wang, Xin Yuan, Xin Xu

“…SEANet integrates three core components: the Multi-Scale Detail Amplification Module (MDAM), the Semantic Enhancement Feature Pyramid (SE-FPN), and the Contrast Enhancement Module (CEM). …”
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