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检索条件"主题词=encoder-decoder"
902 条 记 录,以下是761-770 订阅
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Automatic concrete crack segmentation model based on transformer
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AUTOMATION IN CONSTRUCTION 2022年 139卷
作者: Wang, Wenjun Su, Chao Hohai Univ Coll Water Conservancy & Hydropower Engn Nanjing 210098 Peoples R China
Routine visual inspection of concrete structures is essential to maintain safe conditions. Therefore, studies of concrete crack segmentation using deep learning methods have been extensively conducted in recent years.... 详细信息
来源: 评论
Non-intrusive residential electricity load decomposition via low-resource model transferring
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JOURNAL OF BUILDING ENGINEERING 2023年 73卷
作者: Lin, Lin Shi, Jiancheng Ma, Changwen Zuo, Shi Zhang, Jie Chen, Cheng Huang, Nantian Jilin Inst Chem Technol Coll Informat & Control Engn Jilin 132022 Peoples R China Shanghai Second Polytech Univ Sch Environm & Mat Engn Shanghai 201209 Peoples R China State Grid Jilin Elect Power Co Ltd Econ & Tech Res Inst Changchun 130022 Peoples R China Northeast Dianli Univ Sch Elect Engn Jilin 132012 Peoples R China
Non-intrusive load decomposition (NILD) technology has a broad application prospect because it can deeply excavate the internal electricity consumption data of customers and obtain electricity consumption information.... 详细信息
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Graph neural network-based visual relationship and multilevel attention for image captioning
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JOURNAL OF ELECTRONIC IMAGING 2022年 第5期31卷 053022-053022页
作者: Sharma, Himanshu Srivastava, Swati GLA Univ Dept Comp Engn & Applicat Mathura Uttar Pradesh India
With the remarkable success of the image captioning tasks, visual attention methods have become a vital part of captioning models. However, most attention-based image captioning methods do not consider any relationshi... 详细信息
来源: 评论
A novel method for cage whirl motion capture of high-precision bearing inspired by U-Net
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2023年 第PartA期117卷
作者: Niu, Xiaoliang Yang, Zhaohui Zhou, Ningning Li, Chonghe Northwestern Polytech Univ Sch Aeronaut Xian 710072 Peoples R China Northwestern Polytech Univ Shenzhen Res & Dev Inst Shenzhen 518057 Peoples R China Beijing Inst Control Engn Beijing Key Lab Long Life Technol Precise Rotat & Beijing 100094 Peoples R China Aviat Ind Dev Res Ctr China AVICADR Res Inst Management Engn Beijing Peoples R China
To solve the problem of cage whirl motion capture and evaluation, this paper developed an efficient non -contact measurement method based on semantic segmentation technology. An encoder-decoder network whose backbone ... 详细信息
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TAN: A Transferable Adversarial Network for DNN-Based UAV SAR Automatic Target Recognition Models
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DRONES 2023年 第3期7卷 205-205页
作者: Du, Meng Sun, Yuxin Sun, Bing Wu, Zilong Luo, Lan Bi, Daping Du, Mingyang Natl Univ Def Technol Coll Elect Engn Hefei 230037 Peoples R China Sci & Technol Electroopt Informat Secur Control La Tianjin 300308 Peoples R China China Satellite Maritime Tracking & Control Dept Jiangyin 214430 Peoples R China Lanzhou Univ Coll Commun Engn Lanzhou 730030 Peoples R China
Recently, the unmanned aerial vehicle (UAV) synthetic aperture radar (SAR) has become a highly sought-after topic for its wide applications in target recognition, detection, and tracking. However, SAR automatic target... 详细信息
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Wall segmentation in 2D images using convolutional neural networks
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PEERJ COMPUTER SCIENCE 2023年 9卷 e1565页
作者: Bjekic, Mihailo Lazovic, Ana Venkatachalam, K. Bacanin, Nebojsa Zivkovic, Miodrag Kvascev, Goran Nikolic, Bosko Everseen Belgrade Serbia Daon Belgrade Serbia Univ Hradec Kralove Fac Sci Dept Appl Cybernet Hradec Kralove Czech Republic Singidunum Univ Dept Informat & Comp Belgrade Serbia Univ Belgrade Sch Elect Engn Belgrade Serbia
Wall segmentation is a special case of semantic segmentation, and the task is to classify each pixel into one of two classes: wall and no-wall. The segmentation model returns a mask showing where objects like windows ... 详细信息
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ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images
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BIOMEDICAL SIGNAL PROCESSING AND CONTROL 2022年 第PartA期71卷 103178-103178页
作者: Xu, Chunbo Qi, Yunliang Wang, Yiming Lou, Meng Pi, Jiande Ma, Yide Lanzhou Univ Sch Informat Sci & Engn Lanzhou Gansu Peoples R China
UNet adopting an encoder-decoder structure has been used widely in medical image segmentation tasks for its outstanding performance. However, in our work, we find that UNet has the worse segmentation performance of sm... 详细信息
来源: 评论
TPET: Two-stage Perceptual Enhancement Transformer Network for Low-light Image Enhancement
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2022年 第0期116卷
作者: Cui, Hengshuai Li, Jinjiang Hua, Zhen Fan, Linwei Shandong Technol & Business Univ Future Intelligent Comp Coinnovat Ctr Shandong Coll & Univ Sch Comp Sci & Technol Yantai Peoples R China Shandong Univ Finance & Econ Sch Comp Sci & Technol Jinan Peoples R China
Low-light images captured under low light or backlight conditions can suffer from different types of degradation such as low visibility, strong noise and color distortion. In this paper, to solve the degradation probl... 详细信息
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Image captioning using transformer-based double attention network
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2023年 第1期125卷
作者: Parvin, Hashem Naghsh-Nilchi, Ahmad Reza Mohammadi, Hossein Mahvash Univ Isfahan Fac Comp Engn Dept Artificial Intelligence Esfahan Iran
Image captioning generates a human-like description for a query image, which has attracted considerable attention recently. The most broadly utilized model for image description is an encoder-decoder structure, where ... 详细信息
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Image captioning in Hindi language using transformer networks
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COMPUTERS & ELECTRICAL ENGINEERING 2021年 92卷 107114-107114页
作者: Mishra, Santosh Kumar Dhir, Rijul Saha, Sriparna Bhattacharyya, Pushpak Singh, Amit Kumar Indian Inst Technol Patna Dept Comp Sci & Engn Patna Bihar India Natl Inst Technol Patna Dept Comp Sci & Engn Patna Bihar India
Neural encoder-decoder architectures have been used extensively for image captioning. Con-volutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) are popularly used in encoder and decoder models. Recurren... 详细信息
来源: 评论