Výsledky vyhledávání - DeepLabv3+ Convolutional Neural Network

  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

    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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  3. 3

    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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  4. 4

    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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  5. 5

    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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  6. 6

    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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  7. 7

    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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  8. 8

    Hedgerow map of Bavaria, Germany, based on orthophotos and convolutional neural networks Autor Huber-García, Verena, Kriese, Jennifer, Asam, Sarah, Dirscherl, Mariel, Stellmach, Michael, Buchner, Johanna, Kerler, Kristel, Gessner, Ursula

    ISSN: 2352-9385, 2352-9385
    Vydáno: Elsevier B.V 01.01.2025
    Vydáno v Remote sensing applications (01.01.2025)
    “…Hedgerows play a significant role in biodiversity preservation, carbon sequestration, soil stability and the ecological integrity of rural landscapes…”
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  9. 9

    Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches Autor Wagh, Ameya, Jain, Shubham, Mukherjee, Apratim, Agu, Emmanuel, Pedersen, Peder C., Strong, Diane, Tulu, Bengisu, Lindsay, Clifford, Liu, Ziyang

    ISSN: 2169-3536, 2169-3536
    Vydáno: United States IEEE 2020
    Vydáno v IEEE access (2020)
    “… FCN, U-Net and DeepLabV3 are Convolutional Neural Networks used for semantic segmentation…”
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  10. 10

    Microscopic segmentation and classification of COVID‐19 infection with ensemble convolutional neural network Autor Amin, Javeria, Anjum, Muhammad Almas, Sharif, Muhammad, Rehman, Amjad, Saba, Tanzila, Zahra, Rida

    ISSN: 1059-910X, 1097-0029, 1097-0029
    Vydáno: Hoboken, USA John Wiley & Sons, Inc 01.01.2022
    Vydáno v Microscopy research and technique (01.01.2022)
    “… In this reported research, three‐phase model is proposed for COVID‐19 detection. In Phase I, noise is removed from CT images using a denoise convolutional neural network (DnCNN…”
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  11. 11

    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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  12. 12

    Snow detection in alpine regions with Convolutional Neural Networks: discriminating snow from cold clouds and water body Autor Lu, Yichen, James, Thomas, Schillaci, Calogero, Lipani, Aldo

    ISSN: 1548-1603, 1943-7226, 1943-7226
    Vydáno: Taylor & Francis 31.12.2022
    Vydáno v GIScience and remote sensing (31.12.2022)
    “… Convolutional neural networks ensemble model with DeepLabV3+ was employed as sub-models for snow segmentation using (Sentinel-2…”
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  13. 13

    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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  14. 14

    Automatic Cerebral Hemisphere Segmentation in Rat MRI with Ischemic Lesions via Attention-based Convolutional Neural Networks Autor Valverde, Juan Miguel, Shatillo, Artem, De Feo, Riccardo, Tohka, Jussi

    ISSN: 1539-2791, 1559-0089, 1559-0089
    Vydáno: New York Springer US 01.01.2023
    Vydáno v Neuroinformatics (Totowa, N.J.) (01.01.2023)
    “… on the available resources. We optimized MedicDeepLabv3+ and six other state-of-the-art convolutional neural networks (DeepLabv3…”
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  15. 15

    Leveraging DeepLabV3+ for Lung Region Delineation in Chest Radiographs using Convolutional Neural Network Approach Autor Raman, Ramakrishnan, Kumar, Vikram, Pillai, Biju G., Rabadiya, Dhaval, Divekar, Rajiv, Vachharajani, Hardik

    Vydáno: IEEE 17.05.2024
    “…The advent of deep learning technologies has revolutionized the field of medical imaging, particularly through the application of sophisticated convolutional neural network (CNN…”
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  16. 16

    Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks Autor Skovsen, Søren Kelstrup, Laursen, Morten Stigaard, Kristensen, Rebekka Kjeldgaard, Rasmussen, Jim, Dyrmann, Mads, Eriksen, Jørgen, Gislum, René, Jørgensen, Rasmus Nyholm, Karstoft, Henrik

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 29.12.2020
    Vydáno v Sensors (Basel, Switzerland) (29.12.2020)
    “…+ based convolutional neural network. Data collection has been performed at four separate experimental plot trial sites over three growing seasons…”
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  17. 17

    An integrated approach to automatic pixel-level crack detection and quantification of asphalt pavement Autor Ji, Ankang, Xue, Xiaolong, Wang, Yuna, Luo, Xiaowei, Xue, Weirui

    ISSN: 0926-5805, 1872-7891
    Vydáno: Amsterdam Elsevier B.V 01.06.2020
    Vydáno v Automation in construction (01.06.2020)
    “… To address this problem, we propose an integrated approach based on the convolutional neural network DeepLabv3…”
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  18. 18

    Convolutional neural networks for urban green areas semantic segmentation on Sentinel-2 data Autor Pešek, Ondřej, Brodský, Lukáš, Halounová, Lena, Landa, Martin, Bouček, Tomáš

    ISSN: 2352-9385, 2352-9385
    Vydáno: Elsevier B.V 01.11.2024
    Vydáno v Remote sensing applications (01.11.2024)
    “… Various convolutional neural network architectures (FCN, U-Net, SegNet, DeepLabv3+) were evaluated on open and widely accessible Sentinel-2 data for semantic…”
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  19. 19

    Convolutional neural networks for road surface classification on aerial imagery Autor Pesek, Ondrej, Krisztian, Lina, Landa, Martin, Metz, Markus, Neteler, Markus

    ISSN: 2376-5992, 2376-5992
    Vydáno: United States PeerJ. Ltd 23.12.2024
    Vydáno v PeerJ. Computer science (23.12.2024)
    “…), U-Net, SegNet, DeepLabv3+) on this task. We find that convolutional neural network (CNN…”
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  20. 20

    A Clinically Explainable AI-Based Grading System for Age-Related Macular Degeneration Using Optical Coherence Tomography Autor Elsharkawy, Mohamed, Sharafeldeen, Ahmed, Khalifa, Fahmi, Soliman, Ahmed, Elnakib, Ahmed, Ghazal, Mohammed, Sewelam, Ashraf, Thanos, Aristomenis, Sandhu, Harpal S., El-Baz, Ayman

    ISSN: 2168-2194, 2168-2208, 2168-2208
    Vydáno: United States IEEE 01.04.2024
    “…) detection of merged retina layers using a novel convolutional neural network model; (iii) drusen detection based on 2D…”
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