Výsledky vyhledávání - YOLOv3 object detection algorithm

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  1. 1

    Object Detection Algorithm Based on Improved YOLOv3 Autor Zhao, Liquan, Li, Shuaiyang

    ISSN: 2079-9292, 2079-9292
    Vydáno: Basel MDPI AG 01.03.2020
    Vydáno v Electronics (Basel) (01.03.2020)
    “…The ‘You Only Look Once’ v3 (YOLOv3) method is among the most widely used deep learning-based object detection methods…”
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    Journal Article
  2. 2

    Application of a Model that Combines the YOLOv3 Object Detection Algorithm and Canny Edge Detection Algorithm to Detect Highway Accidents Autor Chung, Yao-Liang, Lin, Chuan-Kai

    ISSN: 2073-8994, 2073-8994
    Vydáno: 01.11.2020
    Vydáno v Symmetry (Basel) (01.11.2020)
    “…) object detection algorithm and Canny edge detection algorithm. It not only detects whether an accident has occurred in front of a vehicle, but further performs a preliminary classification of the accident to determine its severity…”
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    Journal Article
  3. 3

    Improved Object Detection Algorithm of YOLOv3 Remote Sensing Image Autor Wu, Kaijun, Bai, Chenshuai, Wang, Dicong, Liu, Zhengnan, Huang, Tao, Zheng, Huan

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2021
    Vydáno v IEEE access (2021)
    “…Due to the low detection accuracy of YOLOv3 target detection method, this paper proposes an improved target detection method of YOLOv3 remote sensing image…”
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    Journal Article
  4. 4

    YOLOv3 Object Detection Algorithm with Feature Pyramid Attention for Remote Sensing Images Autor Cheng, Zhe, Lv, Jingguo, Wu, Anqi, Qu, Ningning

    ISSN: 0914-4935
    Vydáno: Tokyo MYU Scientific Publishing Division 29.12.2020
    Vydáno v Sensors and materials (29.12.2020)
    “…In object detection in remote sensing images, owing to the complex background environment, there are problems of poor robustness to interference and low detection accuracy for small objects…”
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    Journal Article
  5. 5

    Model Compression Based on YOLOv3 Object Detection Algorithm from the Perspective of UAV Autor Wu, Bing, Xue, Zhijun, Chen, Wenjie

    ISSN: 1934-1768
    Vydáno: Technical Committee on Control Theory, Chinese Association of Automation 26.07.2021
    Vydáno v Chinese Control Conference (26.07.2021)
    “… In order to deploy the YOLOv3 [1] algorithm on drones, it is necessary to adopt the YOLOv3 algorithm with fewer parameters and a simpler structure…”
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    Konferenční příspěvek
  6. 6

    DC-YOLOv3: A novel efficient object detection algorithm Autor Zhang, Xu, Han, Fang, Wang, Ping, Jiang, Wei, Wang, Chen

    ISSN: 1742-6588, 1742-6596
    Vydáno: IOP Publishing 01.11.2021
    Vydáno v Journal of physics. Conference series (01.11.2021)
    “…). Then, a novel one-stage object detection network framework called DC-YOLOv3 is proposed. A lot of experiments on the Pascal 2017 benchmark prove the effectiveness of our framework…”
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  7. 7

    Object Detection Algorithm Based on YOLOv3 Model to Detect Occluded Targets Autor Zhang, Dawei

    ISSN: 1742-6588, 1742-6596
    Vydáno: Bristol IOP Publishing 01.04.2021
    Vydáno v Journal of physics. Conference series (01.04.2021)
    “… Therefore, this paper proposes a target detection algorithm based on V3 model to detect occluded targets…”
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  8. 8

    Image convolution techniques integrated with YOLOv3 algorithm in motion object data filtering and detection Autor Cheng, Mai, Liu, Mengyuan

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 01.04.2024
    Vydáno v Scientific reports (01.04.2024)
    “… These enhancements form a novel multi-object detection algorithm based on an improved YOLOv3 framework, specifically designed for video applications…”
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  9. 9

    Research on Vehicle Object Detection Algorithm Based on Improved YOLOv3 Algorithm Autor Liu, Jin, Zhang, Dongquan

    ISSN: 1742-6588, 1742-6596
    Vydáno: Bristol IOP Publishing 01.06.2020
    Vydáno v Journal of physics. Conference series (01.06.2020)
    “… First the multi-scale prediction network model is improved according to actual traffic conditions and efficiency requirements based on the original general object detection YOLOv3 algorithm…”
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  10. 10

    Nanomesh‐YOLO: Intelligent Colorimetry E‐Skin Based on Nanomesh and Deep Learning Object Detection Algorithm Autor Chen, Hongyu, Xu, Siye, Liu, Haidong, Liu, Chang, Liu, Houfang, Chen, Jiyang, Huang, Hexiang, Gong, Haoyu, Wu, Jingzhi, Tang, Hao, Luo, Jinan, Wen, Baohua, Zhou, Jianhua, Qiao, Yancong

    ISSN: 1616-301X, 1616-3028
    Vydáno: Hoboken Wiley Subscription Services, Inc 01.02.2024
    Vydáno v Advanced functional materials (01.02.2024)
    “…‐skin system consists of the polyurethane (PU) nanomesh and the object detection algorithm You Only Look Once version 3 (YOLOv3). Due to the 44…”
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    Journal Article
  11. 11

    A lightweight YOLOv3 algorithm used for safety helmet detection Autor Deng, Lixia, Li, Hongquan, Liu, Haiying, Gu, Jason

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 29.06.2022
    Vydáno v Scientific reports (29.06.2022)
    “…YOLOv3 is a popular and effective object detection algorithm. However, YOLOv3 has a complex network, and floating point operations (FLOPs…”
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    Journal Article
  12. 12

    Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm Autor Pang, Lei, Liu, Hui, Chen, Yang, Miao, Jungang

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 17.03.2020
    Vydáno v Sensors (Basel, Switzerland) (17.03.2020)
    “…The detection of objects concealed under people’s clothing is a very challenging task, which has crucial applications for security…”
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    Journal Article
  13. 13

    Embedded Real-time Video Object Detection Algorithm Based on YOLOv3 Autor YIN Yanqing, GONG Huajun, WANG Xinhua

    ISSN: 1000-3428
    Vydáno: Editorial Office of Computer Engineering 01.02.2020
    Vydáno v Ji suan ji gong cheng (01.02.2020)
    “… improve the speed of object detection.Experimental results on the ILSVRC dataset show that the proposed algorithm can implement video object detection on NVIDIA TX2 embedded platforms at a speed of 28 frame/s,and its detection accuracy is close to that of the original YOLOv3…”
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    A novel optimized tiny YOLOv3 algorithm for the identification of objects in the lawn environment Autor Wang, Xinyan, Lv, Feng, Li, Lei, Yi, Zhengyang, Jiang, Quan

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 06.09.2022
    Vydáno v Scientific reports (06.09.2022)
    “…Based on the problem of insufficient accuracy of the original tiny YOLOv3 algorithm for object detection in a lawn environment, an Optimized tiny YOLOv3 algorithm with less computation and higher accuracy is proposed…”
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  16. 16

    Implementation of the Object Detection Algorithm (YOLOV3) on FPGA Autor Esen, Fahri, Degirmenci, Ali, Karal, Omer

    Vydáno: IEEE 06.10.2021
    “… However, these models such as single shot detection (SSD), regions convolutional neural network (R-CNN…”
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  17. 17

    Small Object Detection Algorithm for Aerial Photography Based on Improved YOLOv3 Autor XI Qi, WANG Mingjie, WEI Jinghe, ZHAO Wei

    ISSN: 1000-3428
    Vydáno: Editorial Office of Computer Engineering 15.06.2025
    Vydáno v Ji suan ji gong cheng (15.06.2025)
    “…This study presents an improved You Only Look Once version 3 (YOLOv3) algorithm for small object detection, to address problems such as low detection precision…”
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  18. 18

    Multiple Object detection using Autonomous UAVs based on YOLOv3 algorithm Autor Murugendrappa, N, Gayathri, KE, Harshitha, GM, Gupta, Sony

    ISSN: 1757-8981, 1757-899X
    Vydáno: Bristol IOP Publishing 01.09.2020
    “… Nevertheless, the chore of detecting an object is very much challenging and is even more difficult when we have low quality images aboard low cost consumer UAVs…”
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  19. 19

    An Improved Yolov3 Object Detection Algorithm for UAV Aerial Images Autor Zhang, Zhihong, Gong, Huajun, Wang, Xinhua, Feng, Yadong, Xu, Minjie

    Vydáno: IEEE 01.06.2021
    “… Without affecting the detection speed, the improved YOLOV3 algorithm can effectively improve the detection accuracy of small target objects in the aerial perspective and reduce the rate of missed detection…”
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    Konferenční příspěvek
  20. 20

    Object Detection Algorithm for Surface Defects Based on a Novel YOLOv3 Model Autor Lv, Ning, Xiao, Jian, Qiao, Yujing

    ISSN: 2227-9717, 2227-9717
    Vydáno: Basel MDPI AG 01.04.2022
    Vydáno v Processes (01.04.2022)
    “…The surface defects of industrial structural parts have the characteristics of a large-scale span and many small objects, so a novel YOLOv3 model, the YOLOv3-ALL algorithm, is proposed in this paper…”
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    Journal Article