Suchergebnisse - yolov3 object detection algorithm

  1. 1

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

    ISSN: 2079-9292, 2079-9292
    Veröffentlicht: Basel MDPI AG 01.03.2020
    Veröffentlicht in 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 von Chung, Yao-Liang, Lin, Chuan-Kai

    ISSN: 2073-8994, 2073-8994
    Veröffentlicht: 01.11.2020
    Veröffentlicht in 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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  3. 3

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

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2021
    Veröffentlicht in 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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  4. 4

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

    ISSN: 0914-4935
    Veröffentlicht: Tokyo MYU Scientific Publishing Division 29.12.2020
    Veröffentlicht in 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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  5. 5

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

    ISSN: 1934-1768
    Veröffentlicht: Technical Committee on Control Theory, Chinese Association of Automation 26.07.2021
    Veröffentlicht in 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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    Tagungsbericht
  6. 6

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

    ISSN: 1742-6588, 1742-6596
    Veröffentlicht: IOP Publishing 01.11.2021
    Veröffentlicht in 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 von Zhang, Dawei

    ISSN: 1742-6588, 1742-6596
    Veröffentlicht: Bristol IOP Publishing 01.04.2021
    Veröffentlicht in 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 von Cheng, Mai, Liu, Mengyuan

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 01.04.2024
    Veröffentlicht in 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 von Liu, Jin, Zhang, Dongquan

    ISSN: 1742-6588, 1742-6596
    Veröffentlicht: Bristol IOP Publishing 01.06.2020
    Veröffentlicht in 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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    Journal Article
  10. 10

    Nanomesh‐YOLO: Intelligent Colorimetry E‐Skin Based on Nanomesh and Deep Learning Object Detection Algorithm von 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
    Veröffentlicht: Hoboken Wiley Subscription Services, Inc 01.02.2024
    Veröffentlicht in 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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  11. 11

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

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 29.06.2022
    Veröffentlicht in 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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  12. 12

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

    ISSN: 1424-8220, 1424-8220
    Veröffentlicht: Switzerland MDPI AG 17.03.2020
    Veröffentlicht in 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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  13. 13

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

    ISSN: 1000-3428
    Veröffentlicht: Editorial Office of Computer Engineering 01.02.2020
    Veröffentlicht in 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 von Wang, Xinyan, Lv, Feng, Li, Lei, Yi, Zhengyang, Jiang, Quan

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 06.09.2022
    Veröffentlicht in 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 von Esen, Fahri, Degirmenci, Ali, Karal, Omer

    Veröffentlicht: 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 von XI Qi, WANG Mingjie, WEI Jinghe, ZHAO Wei

    ISSN: 1000-3428
    Veröffentlicht: Editorial Office of Computer Engineering 15.06.2025
    Veröffentlicht in 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 von Murugendrappa, N, Gayathri, KE, Harshitha, GM, Gupta, Sony

    ISSN: 1757-8981, 1757-899X
    Veröffentlicht: 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 von Zhang, Zhihong, Gong, Huajun, Wang, Xinhua, Feng, Yadong, Xu, Minjie

    Veröffentlicht: 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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    Tagungsbericht
  20. 20

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

    ISSN: 2227-9717, 2227-9717
    Veröffentlicht: Basel MDPI AG 01.04.2022
    Veröffentlicht in 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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