Výsledky vyhledávání - DeeplabV3+ neural network

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  1. 1

    Enhancing DeepLabv3+ Convolutional Neural Network Model for Precise Apple Orchard Identification Using GF-6 Remote Sensing Images and PIE-Engine Cloud Platform Autor Gao, Guining, Chen, Zhihan, Wei, Yicheng, Zhu, Xicun, Yu, Xinyang

    ISSN: 2072-4292, 2072-4292
    Vydáno: Basel MDPI AG 01.06.2025
    Vydáno v Remote sensing (Basel, Switzerland) (01.06.2025)
    “… This study enhanced the DeepLabv3+ model to achieve superior performance in apple orchard identification by incorporating ResNet, optimizing the algorithm, and adjusting hyperparameter configuration using the PIE-Engine cloud platform…”
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  2. 2

    Runway Detection using a Modified DeeplabV3+ Segmentation Neural Network for Space Applications Autor Smith, David, Carssow, Douglas

    ISSN: 2996-2358
    Vydáno: IEEE 01.03.2025
    “…) to execute a runway detection segmentation neural network. This demonstration was performed to support an NRL developed algorithm for performing landmark based orbit-determination…”
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  3. 3

    Simulation of the of the DeepLabv3 neural network learning process for the agricultural fields segmentation Autor Rogachev, A. F., Belousov, I. S.

    ISSN: 2073-6185, 2542-095X
    Vydáno: Dagestan State Technical University 29.10.2023
    “… The aim of the study is to create a mathematical model of the learning process of the DeepLabV3 neural network for intelligent analysis and segmentation of agricultural fields. Method…”
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  4. 4

    Object Detection and Segmentation Using Deeplabv3 Deep Neural Network for a Portable X-Ray Source Model Autor Rogelio, Jayson P., Dadios, Elmer P., Vicerra, Ryan Ray P., Bandala, Argel A.

    ISSN: 1343-0130, 1883-8014
    Vydáno: Tokyo Fuji Technology Press Co. Ltd 01.09.2022
    “…The primary purpose of this research is to implement Deeplabv3 architecture’s deep neural network in detecting and segmenting portable X-ray source model parts such as body, handle, and aperture in the same color scheme scenario…”
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  5. 5

    Shuffle window transformer DeepLabV3+: a lightweight convolutional neural network and transformer based hybrid semantic segmentation network Autor Li, Yane, Chen, Zhichao, Qi, Hongxia, Fan, Ming, Li, Lihua

    ISSN: 2632-2153, 2632-2153
    Vydáno: Bristol IOP Publishing 30.06.2025
    “… To address this, this paper proposes a semantic segmentation network based on a hybrid architecture of convolutional neural network and Transformer, named shuffle window transformer DeeplabV3+ (SWT-DeepLabV3…”
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  6. 6

    Segmentation Method for Infrared Images of Substation Equipment Based on DeepLabv3+ Neural Network Autor Xuan, Wenchao, Wang, Hongliang, Peng, Haichao, Chen, Hongtao, Guo, Yanchun, Wang, Xianda, Song, Lin, Wang, He

    Vydáno: IEEE 29.03.2024
    “…This study focuses on developing a high-precision image segmentation method for substation equipment using the DeepLabv3+ neural network…”
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  7. 7

    Gas Leak Real-Time Detection and Volume Flow Quantification Based on Infrared Imaging and Advanced Algorithms Autor Yan, Man, Li, Zhou, Dong, Zheng, Liun, Yiming, Chen, Liyun, Wu, Xiaosong, Wu, Lijun

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2025
    Vydáno v IEEE access (2025)
    “… A basic network DeepLabV3+ is first modified by replacing its Xception backbone with MobileNetv2 for real-time gas detection and segmentation…”
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  8. 8

    High-Throughput in situ Root Image Segmentation Based on the Improved DeepLabv3+ Method Autor Shen, Chen, Liu, Liantao, Zhu, Lingxiao, Kang, Jia, Wang, Nan, Shao, Limin

    ISSN: 1664-462X, 1664-462X
    Vydáno: Lausanne Frontiers Media SA 19.10.2020
    Vydáno v Frontiers in plant science (19.10.2020)
    “…+ convolutional neural network (CNN) architecture…”
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  9. 9

    An improved DeepLabv3+ lightweight network for remote-sensing image semantic segmentation Autor Chen, Hui, Qin, Yuanshou, Liu, Xinyuan, Wang, Haitao, Zhao, Jinling

    ISSN: 2199-4536, 2198-6053
    Vydáno: Cham Springer International Publishing 01.04.2024
    Vydáno v Complex & intelligent systems (01.04.2024)
    “…+ lightweight neural network is proposed. Specifically, the lightweight network MobileNetv2 is used as the backbone network…”
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  10. 10

    Unified DeepLabV3+ for Semi-Dark Image Semantic Segmentation Autor Memon, Mehak Maqbool, Hashmani, Manzoor Ahmed, Junejo, Aisha Zahid, Rizvi, Syed Sajjad, Raza, Kamran

    ISSN: 1424-8220, 1424-8220
    Vydáno: Basel MDPI AG 15.07.2022
    Vydáno v Sensors (Basel, Switzerland) (15.07.2022)
    “… The challenging problems of learning deep convolution neural networks, specifically ResNet-based DeepLabV3…”
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    Crack Detection on Concrete Surfaces Using Deep Encoder-Decoder Convolutional Neural Network: A Comparison Study Between U-Net and DeepLabV3 Autor Hadinata, Patrick Nicholas, Simanta, Djoni, Eddy, Liyanto, Nagai, Kohei

    ISSN: 2581-1037, 2549-5925
    Vydáno: Universitas Gadjah Mada 31.08.2021
    “… Convolutional neural network (CNN), a subset of artificial intelligence, is used to detect cracks on concrete surfaces through semantic image segmentation…”
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  12. 12

    Research on Ground Object Classification Method of High Resolution Remote-Sensing Images Based on Improved DeeplabV3 Autor Fu, Junjie, Yi, Xiaomei, Wang, Guoying, Mo, Lufeng, Wu, Peng, Kapula, Kasanda Ernest

    ISSN: 1424-8220, 1424-8220
    Vydáno: Basel MDPI AG 01.10.2022
    Vydáno v Sensors (Basel, Switzerland) (01.10.2022)
    “… In the field of deep learning, some deep neural networks are being applied to high-resolution remote-sensing image segmentation. The DeeplabV3…”
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  13. 13

    Lithology Identification of Improved Model based on DeepLabv3 + Deep Convolutional Neural Network Autor Wang, Ju, Yin, Senlin, Hu, Zhangming, Bai, Kai

    Vydáno: IEEE 18.10.2024
    “…Aiming at the complexity of outcrop lithology identification, an improved outcrop lithology identification algorithm based on DeepLabv3 + is proposed…”
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  14. 14

    Multi-task semantic segmentation of CT images for COVID-19 infections using DeepLabV3+ based on dilated residual network Autor Polat, Hasan

    ISSN: 2662-4729, 0158-9938, 2662-4737, 2662-4737, 1879-5447
    Vydáno: Cham Springer International Publishing 01.06.2022
    “…COVID-19 is a deadly outbreak that has been declared a public health emergency of international concern. The massive damage of the disease to public health,…”
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    Intelligent Recognition and Segmentation of Blunt Craniocerebral Injury CT Images Based on DeepLabV3+ Model Autor Qin, Hao-Jie, Liu, Yuan-Yuan, Fu, En-Hao, Liu, Ya-Wen, Tian, Zhi-Ling, Dong, He-Wen, Liu, Tai-Ang, Zou, Dong-Hua, Cheng, Yi-Bin, Liu, Ning-Guo

    ISSN: 1004-5619
    Vydáno: China Editorial Office of Journal of Forensic Medicine 25.10.2024
    Vydáno v Fa yi xue za zhi (25.10.2024)
    “… (hereinafter referred to as "segmentation") by training convolutional neural network DeepLabV3…”
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  16. 16

    mid-DeepLabv3+: A Novel Approach for Image Semantic Segmentation Applied to African Food Dietary Assessments Autor Baban A Erep, Thierry Roland, Chaari, Lotfi

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 29.12.2023
    Vydáno v Sensors (Basel, Switzerland) (29.12.2023)
    “…Recent decades have witnessed the development of vision-based dietary assessment (VBDA) systems. These systems generally consist of three main stages: food…”
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  17. 17

    Multi-Scale Deep Neural Network Based on Dilated Convolution for Spacecraft Image Segmentation Autor Liu, Yuan, Zhu, Ming, Wang, Jing, Guo, Xiangji, Yang, Yifan, Wang, Jiarong

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 01.06.2022
    Vydáno v Sensors (Basel, Switzerland) (01.06.2022)
    “… This paper proposes an end-to-end spacecraft image segmentation network using the semantic segmentation network DeepLabv3…”
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    Intelligent crack identification method for high‐rise buildings aided by synthetic environments Autor Yao, Ziluo, Jiang, Sheng, Wang, Shuo, Wang, Jingjing, Liu, Hai, Narazaki, Yasutaka, Cui, Jie, Spencer, Billie F.

    ISSN: 1541-7794, 1541-7808
    Vydáno: Oxford Wiley Subscription Services, Inc 25.08.2024
    “…Summary Cracks can develop in high‐rise buildings because of long‐term environmental changes and extreme loading events such as strong winds or earthquakes…”
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    Dose prediction using a deep neural network for accelerated planning of rectal cancer radiotherapy Autor Song, Ying, Hu, Junjie, Liu, Yang, Hu, Haiyun, Huang, Yang, Bai, Sen, Yi, Zhang

    ISSN: 0167-8140, 1879-0887, 1879-0887
    Vydáno: Ireland Elsevier B.V 01.08.2020
    Vydáno v Radiotherapy and oncology (01.08.2020)
    “…•The applied deep neural network DeepLabv3+ performed clinical acceptable dose distribution for rectal cancer radiotherapy with mean square error…”
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    Automatic Segmentation of Finger Bone Regions from CR Images Using Improved DeepLabv3 Autor Ono, Hikaru, Murakami, Seiichi, Kamiya, Tohru, Aoki, Takatoshi

    ISSN: 2642-3901
    Vydáno: ICROS 12.10.2021
    “…The number of hospitalized patients and the number of people requiring nursing care are serious social problems in Japan due to the increasing elderly…”
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