An Improved Generative Adversarial Network for Generating Multi-Scale Electronic Map Tiles Considering Cartographic Requirements by Wei Zhu, Qingsheng Guo, Nai Yang, Ying Tong, Chuanbang Zheng

“…Multi-scale electronic map tiles are important basic geographic information data, and an approach based on deep learning is being used to generate multi-scale map tiles. …”
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Accurate 3D LiDAR SLAM System Based on Hash Multi-Scale Map and Bidirectional Matching Algorithm by Tingchen Ma, Lingxin Kong, Yongsheng Ou, Sheng Xu

“…However, previous literature has not fully addressed the problems of efficient mapping and accurate data association. …”
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A MultiScale Coordinate Attention Feature Fusion Network for Province-Scale Aquatic Vegetation Mapping From High-Resolution Remote Sensing Imagery by Yuzhe Wang, Yunfei Sun, Peng Zhang, Yanlan Wu, Hui Yang

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ID-insensitive deepfake detection model based on multi-attention mechanism by Yuncan Sheng, Zhengrui Zou, Zongxuan Yu, Mengxue Pang, Wei Ou, Wenbao Han

“…Specifically, the proposed multi-attention deepfake detection model consists of the following three parts: (1) Texture Feature Enhancement: We employ CondenseNet to enhance texture features efficiently, preserving subtle details and ensuring feature integrity; (2) Multi-Scale Artifact Detection: We introduce an artifact detection module that identifies potentially manipulated regions, enabling localized detection and minimizing the impact of identity information. (3) Multi-Attention Mechanism: By generating multiple attention maps, our model prioritizes different regions of the input image, fusing both texture and local features to improve classification performance. …”
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MFD-KD: Multi-Scale Frequency-Driven Knowledge Distillation by Tao Dai, Rongliang Huang, Hang Guo, Jinbao Wang, Bo Li, Zexuan Zhu

“…Knowledge Distillation (KD), which focuses on transferring semantic knowledge from a parameter-heavy teacher network to a more compact student network, has been widely and successfully used across plenty of computer vision tasks like image/video recognition and segmentation. …”
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Progressive multi-scale multi-attention fusion for hyperspectral image classification by Hu Wang, Sixiang Quan, Jun Liu, Hai Xiao, Yingying Peng, Zhihui Wang, Huali Li

“…Therefore, how to fully utilize spatial and spectral information in situations with limited samples has become a challenging problem. To address this issue, inspired by the PID controller, this paper proposes a Progressive Multi-Scale Multi-Attention Fusion (PMMF) network structure that simultaneously extracts features from the Proportional (P), Integral (I), and Derivative (D) branches. …”
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Airport Clearance Detection Based on Vision Transformer and Multi-Scale Feature Fusion by Yutong Chen, Yufen Liu, Zhixiong Guo, Qiang Gao

“…The experimental results show that the model achieves high detection accuracy which has reached mAP@0.5 at 93.7%, an improvement of 5.4% compared to YOLOv8n.…”
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An improved multi‐scale YOLOv8 for apple leaf dense lesion detection and recognition by Shixin Huo, Na Duan, Zhizheng Xu

“…Experimental results show that the improved YOLOv8 has better adaptability to multi‐scale dense distribution of apple leaf disease spots with complex scenarios.…”
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YOLO-SAR: An Enhanced Multi-Scale Ship Detection Method in Low-Light Environments by Zihang Xiong, Mei Wang, Ruixiang Kan, Jiayu Zhang

“…Nowadays, object detection has become increasingly crucial in various Internet-of-Things (IoT) systems, and ship detection is an essential component of this field. …”
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Research on lightweight tunnel cable fire recognition algorithm based on multi-scale features by Zimeng Liu, Lei Zhang, Huiqiang Ma, Xuebing Chen, Molin Zhang

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Lightweight underwater object detection method based on multi-scale edge information selection by Shaobin Cai, Xin Zhou, Wanchen Cai, Liansuo Wei, Yuchang Mo

“…As a result, the YOLO algorithm has been widely applied in underwater object detection. …”
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Multi-Scale Plastic Lunch Box Surface Defect Detection Based on Dynamic Convolution by Jing Yang, Gang Zhang, Yunwang Ge, Jingzhuo Shi, Yiming Wang, Jiahao Li

“…Plastic lunch box is a topic that food safety has been neglected, and there are few studies on the defects of plastic lunch box production. …”
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Heart Sound Classification Based on Multi-Scale Feature Fusion and Channel Attention Module by Mingzhe Li, Zhaoming He, Hao Wang

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Identifying Influential Nodes in Complex Networks via Transformer with Multi-Scale Feature Fusion by Tingshuai Jiang, Yirun Ruan, Tianyuan Yu, Liang Bai, Yifei Yuan

“…To overcome this limitation, we introduce a transformer framework with multi-scale feature fusion (MSF-Former). In this framework, we construct local and global feature maps for nodes and use them as input. …”
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A multi-scale enhanced feature fusion model for aircraft detection from SAR images by Guoqing Zhou, Ziqi Zhang, Feng Wang, Qiang Zhu, YueFeng Wang, Ertao Gao, Yufu Cai, Xiao Zhou, Cong Li

“…The experimental results demonstrate that the precision, the recall, and the mAP50 reach 97.4%, 97.6%, 98.9% for SADD dataset; the mAP50 and the mAP50:95 reach 70.1% and 49.0% for SAR-AIRcraft-1.0 dataset, respectively. …”
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A fish counting model based on pyramid vision transformer with multi-scale feature enhancement by Jiaming Xin, Yiying Wang, Dashe Li, Zhongliang Xiang

“…Furthermore, we proposed a global multilevel feature fusion mechanism to strengthen the extraction of the co-occurring information from the multi-scale feature map, which enhanced the focus of the model on the fish body. …”
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GAT-Enhanced YOLOv8_L with Dilated Encoder for Multi-Scale Space Object Detection by Haifeng Zhang, Han Ai, Donglin Xue, Zeyu He, Haoran Zhu, Delian Liu, Jianzhong Cao, Chao Mei

“…In this paper, a multi-scale feature fusion framework based on an improved version of YOLOv8_L is proposed. …”
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Multi-scale coupling quantitative assessment of ecological-urban resilience in the Yangtze River Economic Belt by Jinyang Wang, Zhenfeng Shao, Qingwei Zhuang, Chaoya Dang, Peiqing Jing, Bowen Cai, Siyuan Wang, Jun Li, Fei Yang, Wei Wang, Neema Simon Sumari, Walter Musakwa

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Crack-Detection Algorithm Integrating Multi-Scale Information Gain with Global–Local Tight–Loose Coupling by Yun Bai, Zhiyao Li, Runqi Liu, Jiayi Feng, Biao Li

“…In this study, an improved target-detection model based on information theory is proposed to address the difficulties of crack-detection tasks, such as slender target shapes, blurred boundaries, and complex backgrounds. By introducing a multi-scale information gain mechanism and a global–local feature coupling strategy, the model has significantly improved feature extraction and expression capabilities. …”
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Optimized Marine Target Detection in Remote Sensing Images with Attention Mechanism and Multi-Scale Feature Fusion by Xiantao Jiang, Tianyi Liu, Tian Song, Qi Cen

“…With the continuous growth of maritime activities and the shipping trade, the application of maritime target detection in remote sensing images has become increasingly important. However, existing detection methods face numerous challenges, such as small target localization, recognition of targets with large aspect ratios, and high computational demands. …”
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