Výsledky vyhledávání - DeeplabV3+ AND PSPNet algorithm

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  1. 1

    Comparison of RFE-DL and stacking ensemble learning algorithms for classifying mangrove species on UAV multispectral images Autor Fu, Bolin, He, Xu, Yao, Hang, Liang, Yiyin, Deng, Tengfang, He, Hongchang, Fan, Donglin, Lan, Guiwen, He, Wen

    ISSN: 1569-8432, 1872-826X
    Vydáno: Elsevier B.V 01.08.2022
    “…) with deep learning (DL) algorithms, and further assess the effectiveness of feature selection for DL (DeeplabV3+ and PSPNet…”
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  2. 2

    Application of Three Deep Learning Schemes Into Oceanic Eddy Detection Autor Xu, Guangjun, Xie, Wenhong, Dong, Changming, Gao, Xiaoqian

    ISSN: 2296-7745, 2296-7745
    Vydáno: Lausanne Frontiers Research Foundation 15.06.2021
    Vydáno v Frontiers in Marine Science (15.06.2021)
    “… In the present study, to find out applicable AI-based schemes in eddy detection, three AI-based algorithms are employed in eddy detection, including the pyramid scene parsing network (PSPNet…”
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  3. 3

    A New Clustering Algorithm Toward Building Segmentation From Aerial Images by Utilizing RGB‐Component Differences Autor Liu, Yang, Liu, Shuang, Xu, Jingwen, Wang, Yan, Tan, Guilin, Li, Dongyu, Fan, Bowei

    ISSN: 2333-5084, 2333-5084
    Vydáno: Hoboken John Wiley & Sons, Inc 01.08.2021
    “… their application in irregular scenes, such as the villages subjected to geological hazards in the complex mountains. However, traditional algorithms with shallow and middle features are unable to utilize the complex information of unmanned aerial vehicle…”
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  4. 4

    Crack Unet: Crack Recognition Algorithm Based on Three-Dimensional Ground Penetrating Radar Images Autor Tang, Jiaming, Chen, Chunhua, Huang, Zhiyong, Zhang, Xiaoning, Li, Weixiong, Huang, Min, Deng, Linghui

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 01.12.2022
    Vydáno v Sensors (Basel, Switzerland) (01.12.2022)
    “… do, such as deepLabv3, PSPNet, and Unet. In the test dataset without cracks, Crack Unet is on the same level as deepLabv3 and PSPNet, which can meet engineering requirements…”
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  5. 5

    Fine Tuning Large Models for Straw Detection in Harvested Fields Under Few-Shot Learning Scenarios Autor Wu, Di, Liu, Xi, Bai, Song, Liu, Caixia

    ISSN: 1545-598X, 1558-0571
    Vydáno: Piscataway IEEE 2025
    “…% of the available training data. A comparative analysis was performed under consistent testing conditions against several established algorithms, including Deeplabv3, FCN, PSPNet, TransformerUNet, UNet3…”
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  6. 6

    Research on Propeller Blades Sanding Degree Recognition Algorithm Based on Improved DeepLabV3+ Network Autor Cao, Siying, Yu, Baocheng, Xu, Wenxia

    ISSN: 2996-380X
    Vydáno: IEEE 20.09.2024
    “… To achieve automated recognition of the sanding degree of propeller blades, an image semantic segmentation algorithm based on the improved DeepLabV3…”
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  7. 7

    Online sorting of surface defective walnuts based on deep learning Autor Wang, Jingwei, Bai, Xiaopeng, Xu, Daochun, Li, Wenbin, Tong, Siyuan, Zhang, Jiaming

    ISSN: 0260-8774
    Vydáno: Elsevier Ltd 01.10.2024
    Vydáno v Journal of food engineering (01.10.2024)
    “… Then, three deep learning semantic segmentation algorithms, namely PSPnet, U-net, and Deeplabv3…”
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  8. 8

    A new method for evaluating the uniformity of steel slag distribution in steel slag asphalt mixture based on deep learning Autor Liu, Jianan, Yuan, Linjian, Wang, Zhenjun, Jing, Haosen, Shao, Tingquan, Chen, Hao

    ISSN: 0950-0618, 1879-0526
    Vydáno: Elsevier Ltd 12.10.2023
    Vydáno v Construction & building materials (12.10.2023)
    “…+, U-Net, and PSPNet networks. Pixel level watershed algorithm is used to solve the steel slag adhesion problem for predicted images…”
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  9. 9

    Method of Building Detection in Optical Remote Sensing Images Based on SegFormer Autor Li, Meilin, Rui, Jie, Yang, Songkun, Liu, Zhi, Ren, Liqiu, Ma, Li, Li, Qing, Su, Xu, Zuo, Xibing

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 21.01.2023
    Vydáno v Sensors (Basel, Switzerland) (21.01.2023)
    “…An appropriate detection network is required to extract building information in remote sensing images and to relieve the issue of poor detection effects…”
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  10. 10

    Real-Time Detection and Segmentation of Oceanic Whitecaps via EMA-SE-ResUNet Autor Chen, Wenxuan, Wei, Yongliang, Chen, Xiangyi

    ISSN: 2079-9292, 2079-9292
    Vydáno: Basel MDPI AG 01.11.2025
    Vydáno v Electronics (Basel) (01.11.2025)
    “…Oceanic whitecaps are caused by wave breaking and are very important in air–sea interactions. Usually, whitecap coverage is considered a key factor in…”
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  11. 11

    Cotton Boll Growth Status Recognition Method under Complex Background Based on Semantic Segmentation Autor Lv, Qinkai, Wang, Haihui

    Vydáno: IEEE 04.11.2021
    “… under natural light, uses machine positions from different angles. We compare 4 classes of semantic segmentation models such as PSPnet, FCN, deeplabv3…”
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  12. 12

    AC-UNet: an improved UNet-based method for stem and leaf segmentation in Betula luminifera Autor Yi, Xiaomei, Wang, Jiaoping, Wu, Peng, Wang, Guoying, Mo, Lufeng, Lou, Xiongwei, Liang, Hao, Huang, Huahong, Lin, Erpei, Maponde, Brian Tapiwanashe, Lv, Chaihui

    ISSN: 1664-462X, 1664-462X
    Vydáno: Switzerland Frontiers Media SA 27.11.2023
    Vydáno v Frontiers in plant science (27.11.2023)
    “… In this paper, we propose an AC-UNet stem and leaf segmentation algorithm based on an improved UNet…”
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  14. 14

    OccGAN: Semantic image augmentation for driving scenes Autor Wang, Yidong, Mo, Lisha, Ma, Huimin, Yuan, Jian

    ISSN: 0167-8655, 1872-7344
    Vydáno: Amsterdam Elsevier B.V 01.08.2020
    Vydáno v Pattern recognition letters (01.08.2020)
    “…•The Authenticity Module ensures the plausibility by a generative adversarial network.•Our Method improves the performance of several SOTA algorithms…”
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  15. 15

    Deep learning-based segmentation of epithelial ovarian cancer on T2-weighted magnetic resonance images Autor Hu, Dingdu, Jian, Junming, Li, Yongai, Gao, Xin

    ISSN: 2223-4292
    Vydáno: China 01.03.2023
    “…) (U-Net, DeepLabv3, U-Net++ and PSPNet) and transformers (TransUnet and Swin-Unet), were used to conduct automatic segmentations…”
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  16. 16

    How Images Defects in Street Scenes Affect the Performance of Semantic Segmentation Algorithms Autor Imam, Hoda, A., Bassem, E., Hossam

    ISSN: 2158-107X, 2156-5570
    Vydáno: West Yorkshire Science and Information (SAI) Organization Limited 01.10.2020
    “… street, building, pedestrian, car, and so on). DeepLabv3+ and PSPNet are two of the best performance semantic segmentation methods according to Cityscapes benchmark…”
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  17. 17

    Apple Yield Estimation Method Based on CBAM-ECA-Deeplabv3+ Image Segmentation and Multi-Source Feature Fusion Autor Cui, Wenhao, Lan, Yubin, Li, Jingqian, Yang, Lei, Zhou, Qi, Han, Guotao, Xiao, Xiao, Zhao, Jing, Qiao, Yongliang

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 15.05.2025
    Vydáno v Sensors (Basel, Switzerland) (15.05.2025)
    “…) to improve apple yield estimation accuracy. The DeepLabv3+ network, optimized with Convolutional Block Attention Module (CBAM…”
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  18. 18

    Segmentation of void defects in X-ray images of chip solder joints based on PCB-DeepLabV3 algorithm Autor Kong, Defeng, Hu, Xinyu, Gong, Ziang, Zhang, Daode

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 24.05.2024
    Vydáno v Scientific reports (24.05.2024)
    “…, varying sizes, and defocused edges. To address this problem, an X-ray void image segmentation algorithm based on improved PCB-DeepLabV3 is proposed…”
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    Extracting Citrus in Southern China (Guangxi Region) Based on the Improved DeepLabV3+ Network Autor Li, Hao, Zhang, Jia, Wang, Jia, Feng, Zhongke, Liang, Boyi, Xiong, Nina, Zhang, Junping, Sun, Xiaoting, Li, Yibing, Lin, Shuqi

    ISSN: 2072-4292, 2072-4292
    Vydáno: Basel MDPI AG 01.12.2023
    Vydáno v Remote sensing (Basel, Switzerland) (01.12.2023)
    “… This study proposes a lightweight model for citrus plantation extraction that combines the DeepLabV3…”
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  20. 20

    Deep learning-based semantic segmentation with novel navigation line extraction for autonomous agricultural robots Autor Nkwocha, Chijioke Leonard, Wang, Ning

    ISSN: 2731-0809, 2731-0809
    Vydáno: Cham Springer International Publishing 01.12.2025
    Vydáno v Discover Artificial Intelligence (01.12.2025)
    “… In this study, three deep learning-based semantic segmentation models, ENet, Deeplabv3+, and PSPNet, were trained on corn crop row images to extract the traversable path of the robot…”
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