Výsledky vyhledávání - modified object-detection method

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  1. 1

    Automated diabetic retinopathy grading and lesion detection based on the modified R-FCN object-detection algorithm Autor Wang, Jialiang, Luo, Jianxu, Liu, Bin, Feng, Rui, Lu, Lina, Zou, Haidong

    ISSN: 1751-9632, 1751-9640, 1751-9640
    Vydáno: The Institution of Engineering and Technology 01.02.2020
    Vydáno v IET computer vision (01.02.2020)
    “…) grading and DR lesion detection in retinal fundus images. We propose a modified object-detection method for this task via a region-based fully convolutional network (R-FCN…”
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  2. 2

    A novel three-dimensional object detection with the modified You Only Look Once method Autor Zhao, Xia, Jia, Haihang, Ni, Yingting

    ISSN: 1729-8806, 1729-8814
    Vydáno: London, England SAGE Publications 01.03.2018
    “… First, aiming at the requirement of three-dimensional object detection and the low location accuracy of You Only Look Once, a modified two-dimensional object detection method based on You Only Look Once is proposed…”
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  3. 3

    A low light object detection method based on a modified YOLO11 model Autor Zhou, Meng, He, Shuke, Wang, Jing, Wang, Chang

    ISSN: 2767-9861
    Vydáno: IEEE 09.05.2025
    “…) into YOLO11 model, Finally, the proposed method is illustrated by EXdark dataset for low-light object detection…”
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  4. 4

    A modified inter-frame difference method for detection of moving objects in videos Autor Srinivas, Yara, Ganivada, Avatharam

    ISSN: 2511-2104, 2511-2112
    Vydáno: Singapore Springer Nature Singapore 01.03.2025
    “… In this work, a modified inter-frame difference (MIFD) method for detecting moving objects in a video at various conditions is proposed…”
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  5. 5

    Recognition of surrounding environment from electric wheelchair videos based on modified YOLOv2 Autor Sakai, Yuki, Lu, Huimin, Tan, Joo-Kooi, Kim, Hyoungseop

    ISSN: 0167-739X, 1872-7115
    Vydáno: Elsevier B.V 01.03.2019
    Vydáno v Future generation computer systems (01.03.2019)
    “…Currently, the aging population is growing in Japan, and the needs for the utilization of welfare equipment are consequently increasing. The electric…”
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  6. 6

    YOLOv5s-T: A Lightweight Small Object Detection Method for Wheat Spikelet Counting Autor Shi, Lei, Sun, Jiayue, Dang, Yuanbo, Zhang, Shaoqi, Sun, Xiaoyun, Xi, Lei, Wang, Jian

    ISSN: 2077-0472, 2077-0472
    Vydáno: Basel MDPI AG 01.04.2023
    Vydáno v Agriculture (Basel) (01.04.2023)
    “… Furthermore, a modified lightweight object detection method, YOLOv5s-T, was incorporated. The experimental results show that the coefficient of determination (R2…”
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  7. 7

    Algorithm of Ground Object Detection with Modified SURF Method by Using Morphological Features Autor Mukhina, Maryna, Barkalova, Iryna

    Vydáno: IEEE 01.10.2018
    “…Two approaches are combined into one algorithm in order to reach better accuracy of ground object detection and tracking…”
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  8. 8

    A hybrid human fall detection method based on modified YOLOv8s and AlphaPose Autor Liu, Lei, Sun, Yeguo, Li, Yinyin, Liu, Yihong

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 21.01.2025
    Vydáno v Scientific reports (21.01.2025)
    “…To address the challenges of low detection accuracy of small objects and weak applicability of the multi-person fall action recognition applications, we propose a hybrid fall detection method based…”
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  9. 9

    Multi-scale ResNet for real-time underwater object detection Autor Pan, Tien-Szu, Huang, Huang-Chu, Lee, Jen-Chun, Chen, Chung-Hsien

    ISSN: 1863-1703, 1863-1711
    Vydáno: London Springer London 01.07.2021
    Vydáno v Signal, image and video processing (01.07.2021)
    “… This method is based on a modified residual neural network (ResNet) for underwater object detection…”
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  10. 10

    Real-Time Moving Object Detection in High-Resolution Video Sensing Autor Zhu, Haidi, Wei, Haoran, Li, Baoqing, Yuan, Xiaobing, Kehtarnavaz, Nasser

    ISSN: 1424-8220, 1424-8220
    Vydáno: MDPI 25.06.2020
    Vydáno v Sensors (Basel, Switzerland) (25.06.2020)
    “… A previously developed framework for moving object detection is modified to enable real-time processing of high-resolution images…”
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  11. 11

    A modified YOLOv4 detection method for a vision-based underwater garbage cleaning robot Autor Tian, Manjun, Li, Xiali, Kong, Shihan, Wu, Licheng, Yu, Junzhi

    ISSN: 2095-9184, 2095-9230
    Vydáno: Hangzhou Zhejiang University Press 01.08.2022
    “… We propose a garbage detection method based on a modified YOLOv4, allowing high-speed and high-precision object detection…”
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  12. 12

    R-SNN: Region-Based Spiking Neural Network for Object Detection Autor Jin, Xiaobo, Zhang, Ming, Yan, Rui, Pan, Gang, Ma, De

    ISSN: 2379-8920, 2379-8939
    Vydáno: Piscataway IEEE 01.06.2024
    “… The only existing SNN-based object detection method Spiking YOLO relied on a modified integrate-and-fire…”
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  13. 13

    The Use of Thermal Cameras for Pedestrian Detection Autor Altay, Fatih, Velipasalar, Senem

    ISSN: 1530-437X, 1558-1748
    Vydáno: New York IEEE 15.06.2022
    Vydáno v IEEE sensors journal (15.06.2022)
    “…Visible-range camera sensors have been widely used for pedestrian detection. However, most of the methods, which employ visible-range color cameras, do not perform well under low-light and no-light conditions, e.g. during night time…”
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  14. 14

    Improved Few‐Shot Object Detection Method Based on Faster R‐CNN Autor Wei, YangJie, Long, Shangwei, Wang, Yutong

    ISSN: 1751-9659, 1751-9667
    Vydáno: 01.01.2025
    Vydáno v IET image processing (01.01.2025)
    “… This paper proposes an improved two‐stage few‐shot object detection method that builds upon the faster region…”
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  15. 15

    Convolutional Neural Network for Object Detection in Garlic Root Cutting Equipment Autor Yang, Ke, Peng, Baoliang, Gu, Fengwei, Zhang, Yanhua, Wang, Shenying, Yu, Zhaoyang, Hu, Zhichao

    ISSN: 2304-8158, 2304-8158
    Vydáno: Basel MDPI AG 24.07.2022
    Vydáno v Foods (24.07.2022)
    “… To develop food processing equipment, a novel and accurate object detection method for garlic using deep learning…”
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  16. 16

    Image Segmentation of Thyroid Nodule and Capsule for Diagnosing Central Compartment Lymph Node Metastasis Autor Liao, Xiandong, Lin, Keru, Chen, Donghao, Zhang, Honggang, Li, Yingying, Jiang, Bo

    ISSN: 2694-0604, 2694-0604
    Vydáno: United States IEEE 01.11.2021
    “…), and a modified salient object detection network U 2 -RNet to segment nodules and capsules respectively…”
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  17. 17

    Object Detection through Modified YOLO Neural Network Autor Nazir, Shah, Ahmad, Belal, Yahya, Muhammad, Ma, Yinglong, Ahmad, Tanvir, Haq, Amin Ul

    ISSN: 1058-9244, 1875-919X
    Vydáno: Cairo, Egypt Hindawi Publishing Corporation 2020
    Vydáno v Scientific programming (2020)
    “… In this paper, a modified YOLOv1 based neural network is proposed for object detection. The new neural network model has been improved in the following ways…”
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  18. 18

    A modified YOLOv3 detection method for vision-based water surface garbage capture robot Autor Li, Xiali, Tian, Manjun, Kong, Shihan, Wu, Licheng, Yu, Junzhi

    ISSN: 1729-8806, 1729-8814
    Vydáno: London, England SAGE Publications 01.05.2020
    “… In this article, we present a modified you only look once v3-based garbage detection method, allowing real-time and high-precision object detection in dynamic aquatic environments…”
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  19. 19

    Pruning-Based YOLOv4 Algorithm for Underwater Gabage Detection Autor Tian, Manjun, Li, Xiali, Kong, Shihan, wu, Licheng, Yu, Junzhi

    ISSN: 1934-1768
    Vydáno: Technical Committee on Control Theory, Chinese Association of Automation 26.07.2021
    Vydáno v Chinese Control Conference (26.07.2021)
    “… This paper proposes a garbage detection method based on a modified YOLOv4, allowing high-speed and high-precision object detection…”
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  20. 20

    A ResNet-101 deep learning framework induced transfer learning strategy for moving object detection Autor Panigrahi, Upasana, Sahoo, Prabodh Kumar, Panda, Manoj Kumar, Panda, Ganapati

    ISSN: 0262-8856, 1872-8138
    Vydáno: Elsevier B.V 01.06.2024
    Vydáno v Image and vision computing (01.06.2024)
    “…, moderate, and fast-moving object detection in videos simultaneously and also for unseen video setups…”
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