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检索条件"主题词=Encoder-decoder network"
180 条 记 录,以下是61-70 订阅
排序:
SSDBN: A Single-Side Dual-Branch network with encoder-decoder for Building Extraction
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REMOTE SENSING 2022年 第3期14卷 768-768页
作者: Li, Yang Lu, Hui Liu, Qi Zhang, Yonghong Liu, Xiaodong Nanjing Univ Informat Sci & Technol Minist Educ Sch Comp & Software Engn Res Ctr Digital Forens Nanjing 210044 Peoples R China Nanjing Univ Informat Sci & Technol Sch Automat Nanjing 210044 Peoples R China Edinburgh Napier Univ Sch Comp Edinburgh EH10 5DT Midlothian Scotland
In the field of building detection research, an accurate, state-of-the-art semantic segmentation model must be constructed to classify each pixel of the image, which has an important reference value for the statistica... 详细信息
来源: 评论
MSANet: Mixed Spectral and Attention network for Robust 3D Human Pose Estimation
MSANet: Mixed Spectral and Attention Network for Robust 3D H...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Wang, Bing Wu, Suping Zhang, Xitie Shi, Liyuan Yang, Sheng Duan, Zhijian Xiong, Tuo Ningxia University School of Information Engineering Ningxia China
Despite significant advances in 3D human pose estimation from a single-view video, existing methods often struggle to produce reasonable human poses when the human is heavily occluded or blurred. To address this issue... 详细信息
来源: 评论
A model use context complementarity feature fusion learning for semi-supervised 3D medical image segmentation
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BIOMEDICAL SIGNAL PROCESSING AND CONTROL 2025年 102卷
作者: Chen, Lei Zhao, Yikai Yang, Dongxu Ma, Yunpeng Zhao, Bingjie Hou, Jieru Liu, Wenhao Tianjin Univ Commerce Sch Informat Engn Tianjin 300134 Peoples R China
In 3D medical image segmentation, Semi-Supervised Learning (SSL) methods have shown strong potential with limited labeled data. However, most existing SSL models fail to effectively utilize correlations between data s... 详细信息
来源: 评论
Multimodal 3D medical image registration guided by shape encoder-decoder networks
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INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY 2020年 第2期15卷 269-276页
作者: Blendowski, Max Bouteldja, Nassim Heinrich, Mattias P. Univ Lubeck Inst Med Informat Ratzeburger Allee 160 D-23562 Lubeck Germany Rhein Westfal TH Aachen Inst Imaging & Comp Vis Templergraben 55 D-52056 Aachen Germany
Purpose Nonlinear multimodal image registration, for example, the fusion of computed tomography (CT) and magnetic resonance imaging (MRI), fundamentally depends on a definition of image similarity. Previous methods th... 详细信息
来源: 评论
Are all shortcuts in encoder-decoder networks beneficial for CT denoising?
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COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION 2023年 第1期11卷 59-66页
作者: Chen, Junhua Zhang, Chong Wee, Leonard Dekker, Andre Bermejo, Inigo Maastricht Univ Grow Sch Oncol & Dev Biol Dept Radiat Oncol MAASTRO Med Ctr NL-6229 ET Maastricht Netherlands
Denoising of CT scans has attracted the attention of many researchers in the medical image analysis domain. encoder-decoder networks are deep learning neural networks that have become common for image denoising in rec... 详细信息
来源: 评论
Deep convolutional encoder-decoder networks based on ensemble learning for semantic segmentation of high-resolution aerial imagery
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CCF TRANSACTIONS ON HIGH PERFORMANCE COMPUTING 2024年 第4期6卷 408-424页
作者: Zhu, Huming Liu, Chendi Li, Qiuming Zhang, Lingyun Wang, Libing Li, Sifan Jiao, Licheng Hou, Biao Xidian Univ Sch Artificial Intelligence Key Lab Intelligent Percept & Image Understanding Minist Educ Xian 710071 Shaanxi Peoples R China AVIC Xian Aeronaut Comp Tech Res Inst Xian Peoples R China China Star Network Applicat Co Ltd Chongqing Peoples R China
Due to the complexity of object information and optical conditions of high-resolution aerial imagery, it is difficult to obtain fine semantic segmentation performance. Although various deep neural network structures h... 详细信息
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Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder-decoder networks
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MEDICAL IMAGE ANALYSIS 2024年 93卷 103072页
作者: Hussein, Ramy Shin, David Zhao, Moss Y. Guo, Jia Davidzon, Guido Steinberg, Gary Moseley, Michael Zaharchuk, Greg Stanford Univ Dept Radiol Radiol Sci Lab Stanford CA 94305 USA GE Healthcare Global MR Applicat & Workflow Menlo Pk CA 94025 USA Stanford Univ Stanford Cardiovasc Inst Stanford CA 94305 USA Univ Calif Riverside Dept Bioengn Riverside CA 92521 USA Stanford Univ Dept Radiol Div Nucl Med Stanford CA 94305 USA Stanford Univ Dept Neurosurg Stanford CA 94304 USA
Accurate quantification of cerebral blood flow (CBF) is essential for the diagnosis and assessment of a wide range of neurological diseases. Positron emission tomography (PET) with radiolabeled water (O-15-water) is t... 详细信息
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Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks
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MEDICAL IMAGE ANALYSIS 2021年 69卷 101945-101945页
作者: Golbabaee, Mohammad Buonincontri, Guido Pirkl, Carolin M. Menzel, Marion, I Menze, Bjoern H. Davies, Mike Gomez, Pedro A. Univ Bath Comp Sci Dept Bath Avon England Imago7 Fdn Pisa Italy Tech Univ Munich Comp Sci Dept Munich Germany GE Healthcare Munich Germany Univ Edinburgh Sch Engn Edinburgh Midlothian Scotland
We propose a dictionary-matching-free pipeline for multi-parametric quantitative MRI image computing. Our approach has two stages based on compressed sensing reconstruction and deep learned quantitative inference. The... 详细信息
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An Encoding-Decoding Framework Based on CNN for circ RNA-RBP Binding Sites Prediction
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Chinese Journal of Electronics 2024年 第1期33卷 256-263页
作者: Yajing GUO Xiujuan LEI Yi PAN School of Computer Science Shaanxi Normal University Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences Department of Computer Science Georgia State University
Predicting RNA binding protein(RBP) binding sites on circular RNAs(circ RNAs) is a fundamental step to understand their interaction mechanism. Numerous computational methods are developed to solve this problem, but th... 详细信息
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Video Foreground Extraction Using Multi-View Receptive Field and encoderdecoder DCNN for Traffic and Surveillance Applications
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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2019年 第10期68卷 9478-9493页
作者: Akilan, Thangarajah Wu, Q. M. Jonathan Zhang, Wandong Lakehead Univ Dept Comp Sci Thunder Bay ON P7B 5E1 Canada Univ Windsor Dept Elect & Comp Engn Windsor ON N9B 3P4 Canada
The automatic detection of foreground (FG) objects in videos is a demanding area of computer vision, with essential applications in video-based traffic analysis and surveillance. New solutions have attempted exploitin... 详细信息
来源: 评论