Showing 1 - 20 results of 62 for search '"Lightweight"', query time: 0.06s Refine Results
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    DFTD-YOLO: Lightweight Multi-Target Detection From Unmanned Aerial Vehicle Viewpoints by Yuteng Chen, Zhaoguang Liu

    Published 2025-01-01
    “…Due to the low detection accuracy of small and dense target objects in multi-target detection tasks from the unmanned aerial vehicle (UAV) perspective and the deployment of deep learning models for UAVs as embedded devices, these models must be lightweight. In this study, we propose an improved algorithm, DFTD-YOLO, based on YOLOv8n. …”
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    The effect of depth data and upper limb impairment on lightweight monocular RGB human pose estimation models by Gloria-Edith Boudreault-Morales, Cesar Marquez-Chin, Xilin Liu, José Zariffa

    Published 2025-02-01
    “…The aims of this work are to (1) Determine how depth data affects lightweight monocular red–green–blue (RGB) HPE performance (accuracy and speed), to inform sensor selection and (2) Validate HPE models using data from individuals with physical impairments. …”
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    MLHI-Net: multi-level hybrid lightweight water body segmentation network for urban shoreline detection by Jianhua Ye, Pan Li, Yunda Zhang, Ze Guo, Shoujin Zeng, Youji Zhan

    Published 2025-02-01
    “…To address these challenges, this paper proposes a multi-level hybrid lightweight water segmentation network, MLHI-Net. First, we design a convolutional module (ORRD) compatible with over-parameterized and redundancy removal techniques based on lightweight design. …”
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    Light-YOLO: a lightweight detection algorithm based on multi-scale feature enhancement for infrared small ship target by Ji Tang, Xiao-Min Hu, Sang-Woon Jeon, Wei-Neng Chen

    Published 2025-01-01
    “…Addressing these challenges, this study presents Light-YOLO, a lightweight model for ship small target detection. Within the YOLOv8 network architecture, Light-YOLO replaces conventional convolutions with snake convolutions, effectively addressing the issue of inadequate detection point receptive fields for small targets, thereby enhancing their detection. …”
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