Suchergebnisse - DeeplabV3+ and PSPNet algorithm*

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

“… ) with deep learning (DL) algorithms, and further assess the effectiveness of feature selection for DL (DeeplabV3+ and PSPNet …”
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Application of Three Deep Learning Schemes Into Oceanic Eddy Detection von Xu, Guangjun, Xie, Wenhong, Dong, Changming, Gao, Xiaoqian

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

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

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

“… % 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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Research on the segmentation of individual trees and the extraction of structural parameters in eucalyptus plantations based on a TEMA mask R-CNN model von Huang, Runlian, Ding, Jirong, Ren, Zhaotong, Li, Yuecan, Lai, Xin, Chen, Jianjun, You, Haotian

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

“… In this paper, we propose an AC-UNet stem and leaf segmentation algorithm based on an improved UNet …”
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Research on Propeller Blades Sanding Degree Recognition Algorithm Based on Improved DeepLabV3+ Network von Cao, Siying, Yu, Baocheng, Xu, Wenxia

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

“… Then, three deep learning semantic segmentation algorithms, namely PSPnet, U-net, and Deeplabv3 …”
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A new method for evaluating the uniformity of steel slag distribution in steel slag asphalt mixture based on deep learning von Liu, Jianan, Yuan, Linjian, Wang, Zhenjun, Jing, Haosen, Shao, Tingquan, Chen, Hao

“… +, 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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Real-Time Detection and Segmentation of Oceanic Whitecaps via EMA-SE-ResUNet von Chen, Wenxuan, Wei, Yongliang, Chen, Xiangyi

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

“… •The Authenticity Module ensures the plausibility by a generative adversarial network.•Our Method improves the performance of several SOTA algorithms …”
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Cotton Boll Growth Status Recognition Method under Complex Background Based on Semantic Segmentation von Lv, Qinkai, Wang, Haihui

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

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

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

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

“… 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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Development of an Underwater Detection Robot for the Structures with Pile Foundation von Zhang, Wenwei, Zhu, Kun, Yang, Zhichun, Ye, Yunling, Ding, Junfeng, Gan, Jin

“… Furthermore, a novel detection algorithm based on the image segmentation network UNet …”
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Apple Yield Estimation Method Based on CBAM-ECA-Deeplabv3+ Image Segmentation and Multi-Source Feature Fusion von Cui, Wenhao, Lan, Yubin, Li, Jingqian, Yang, Lei, Zhou, Qi, Han, Guotao, Xiao, Xiao, Zhao, Jing, Qiao, Yongliang

“… ) to improve apple yield estimation accuracy. The DeepLabv3+ network, optimized with Convolutional Block Attention Module (CBAM …”
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Deep learning-based segmentation of epithelial ovarian cancer on T2-weighted magnetic resonance images von Hu, Dingdu, Jian, Junming, Li, Yongai, Gao, Xin

“… ) (U-Net, DeepLabv3, U-Net++ and PSPNet) and transformers (TransUnet and Swin-Unet), were used to conduct automatic segmentations …”
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