Search Results - 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 by Fu, Bolin, He, Xu, Yao, Hang, Liang, Yiyin, Deng, Tengfang, He, Hongchang, Fan, Donglin, Lan, Guiwen, He, Wen

    ISSN: 1569-8432, 1872-826X
    Published: Elsevier B.V 01.08.2022
    “…) with deep learning (DL) algorithms, and further assess the effectiveness of feature selection for DL (DeeplabV3and PSPNet…”
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    Journal Article
  2. 2

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

    ISSN: 2296-7745, 2296-7745
    Published: Lausanne Frontiers Research Foundation 15.06.2021
    Published in 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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    Journal Article
  3. 3

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

    ISSN: 2333-5084, 2333-5084
    Published: Hoboken John Wiley & Sons, Inc 01.08.2021
    Published in Earth and space science (Hoboken, N.J.) (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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    Journal Article
  4. 4

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

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 01.12.2022
    Published in 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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    Journal Article
  5. 5

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

    ISSN: 2996-380X
    Published: 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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    Conference Proceeding
  6. 6
  7. 7

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

    ISSN: 1545-598X, 1558-0571
    Published: 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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    Journal Article
  8. 8

    AC-UNet: an improved UNet-based method for stem and leaf segmentation in Betula luminifera by 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
    Published: Switzerland Frontiers Media SA 27.11.2023
    Published in 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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    Journal Article
  9. 9

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

    ISSN: 2158-107X, 2156-5570
    Published: 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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    Journal Article
  10. 10

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

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 15.05.2025
    Published in 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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    Journal Article
  11. 11

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

    ISSN: 2045-2322, 2045-2322
    Published: London Nature Publishing Group UK 24.05.2024
    Published in 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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    Journal Article
  12. 12

    Extracting Citrus in Southern China (Guangxi Region) Based on the Improved DeepLabV3+ Network by 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
    Published: Basel MDPI AG 01.12.2023
    Published in 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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    Journal Article
  13. 13

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

    ISSN: 0260-8774
    Published: Elsevier Ltd 01.10.2024
    Published in Journal of food engineering (01.10.2024)
    “… Then, three deep learning semantic segmentation algorithms, namely PSPnet, U-net, and Deeplabv3…”
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    Journal Article
  14. 14

    CAML-PSPNet: A Medical Image Segmentation Network Based on Coordinate Attention and a Mixed Loss Function by Li, Yuxia, Li, Peng, Wang, Hailing, Gong, Xiaomei, Fang, Zhijun

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 01.02.2025
    Published in Sensors (Basel, Switzerland) (01.02.2025)
    “… For this, a new network based on PSPNet, using a coordinate attention mechanism and a mixed loss function for segmentation (CAML-PSPNet), is proposed…”
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    Journal Article
  15. 15

    An Identification Method for Mixed Coal Vitrinite Components Based on An Improved DeepLabv3+ Network by Wang, Fujie, Li, Fanfan, Sun, Wei, Song, Xiaozhong, Lu, Huishan

    ISSN: 1996-1073, 1996-1073
    Published: Basel MDPI AG 01.07.2024
    Published in Energies (Basel) (01.07.2024)
    “…To address the high complexity and low accuracy issues of traditional methods in mixed coal vitrinite identification, this paper proposes a method based on an improved DeepLabv3+ network…”
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    Journal Article
  16. 16

    Lightweight rice leaf spot segmentation model based on improved DeepLabv3 by Li, Jianian, Gao, Long, Wang, Xiaocheng, Fang, Jiaoli, Su, Zeyang, Li, Yuecong, Chen, Shaomin

    ISSN: 1664-462X, 1664-462X
    Published: Switzerland Frontiers Media SA 2025
    Published in Frontiers in plant science (2025)
    “… To address these limitations, a lightweight rice leaf spot segmentation model (MV3L-MSDE-PGFF-CA-DeepLabv3+, MMPC-DeepLabv3…”
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    Journal Article
  17. 17

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

    ISSN: 0950-0618, 1879-0526
    Published: Elsevier Ltd 12.10.2023
    Published in 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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    Journal Article
  18. 18

    An Approach for Plant Leaf Image Segmentation Based on YOLOV8 and the Improved DEEPLABV3 by Yang, Tingting, Zhou, Suyin, Xu, Aijun, Ye, Junhua, Yin, Jianxin

    ISSN: 2223-7747, 2223-7747
    Published: Basel MDPI AG 29.09.2023
    Published in Plants (Basel) (29.09.2023)
    “… In this paper, based on our previous publicly available leaf dataset, an approach that fuses YOLOv8 and improved DeepLabv3…”
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    Journal Article
  19. 19

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

    Published: 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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    Conference Proceeding
  20. 20

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

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 21.01.2023
    Published in 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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    Journal Article