Výsledky vyhledávání - Deep convolutional encoder–decoder

Elastic Full Waveform Inversion using a Physics guided deep convolutional encoder-decoder Autor Dhara, Arnab, Sen, Mrinal K.

“… We extend our physics guided deep convolutional encoder-decoder network to the problem of multiparameter elastic full waveform inversion…”
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Enhanced Deep Learning Approach Based on the Deep Convolutional Encoder-Decoder Architecture for Electromagnetic Inverse Scattering Problems Autor Yao, He Ming, Jiang, Lijun, Sha, Wei E. I.

“… The proposed complex-valued deep learning model for solving EMIS problems composes of an encoder network and its corresponding decoder network, followed by a final pixel-wise regression layer…”
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Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification Autor Zhu, Yinhao, Zabaras, Nicholas

“…We are interested in the development of surrogate models for uncertainty quantification and propagation in problems governed by stochastic PDEs using a deep convolutional encoder…”
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Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media Autor Mo, Shaoxing, Zhu, Yinhao, Zabaras, Nicholas, Shi, Xiaoqing, Wu, Jichun

“… In this paper, we propose a deep convolutional encoder‐decoder neural network methodology to tackle these issues…”
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Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC) Autor Shiri, Isaac, Ghafarian, Pardis, Geramifar, Parham, Leung, Kevin Ho-Yin, Ghelichoghli, Mostafa, Oveisi, Mehrdad, Rahmim, Arman, Ay, Mohammad Reza

“…Objective To obtain attenuation-corrected PET images directly from non-attenuation-corrected images using a convolutional encoder-decoder network…”
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Anomaly Detection and Segmentation for Wafer Defect Patterns Using Deep Convolutional Encoder-Decoder Neural Network Architectures in Semiconductor Manufacturing Autor Nakazawa, Takeshi, Kulkarni, Deepak V.

“… We present a method for detecting and segmenting abnormal wafer map defect patterns using deep convolutional encoder-decoder neural network architectures…”
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A Deep Convolutional Encoder–Decoder–Restorer Architecture for Image Deblurring Autor Fan, Yiqing, Hong, Chaoqun, Zeng, Guanghui, Liu, Lijuan

“… However, a single-stage network cannot capture multi-scale information well. To tackle the problem, a novel convolutional encoder–decoder…”
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Implementing the Fast Full Wave Electromagnetic Forward Solver Using the Deep Convolutional Encoder-Decoder Architecture Autor Yao, He Ming, Jiang, Lijun, Ng, Michael

“… It is based on the complex-valued deep convolutional neural networks (DConvNets) comprising an encoder network and a corresponding decoder network with pixel-wise regression layer…”
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Solving Electromagnetic Inverse Scattering Problems in Inhomogeneous Media by Deep Convolutional Encoder-Decoder Structure Autor Zhang, Huan Huan, Yao, He Ming, Jiang, Lijun, Ng, Michael

“…), which comprise the deep convolutional encoder-decoder (DCED) structure. Its training data are collected based on the simple synthetic dataset…”
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DCNet: Densely Connected Deep Convolutional Encoder–Decoder Network for Nasopharyngeal Carcinoma Segmentation Autor Li, Yang, Han, Guanghui, Liu, Xiujian

“… of tiny tumor volume. To address the problem, we propose a densely connected deep convolutional network consisting of an encoder network and a corresponding decoder network, which extracts high-level semantic features…”
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DSLSTM: a deep convolutional encoder–decoder architecture for abnormality detection in video surveillance Autor Roka, Sanjay, Diwakar, Manoj

“… This paper proposes a novel two-stream spatial and temporal architecture called Deep Stacked LSTM (DSLSTM…”
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Deep encoder–decoder hierarchical convolutional neural networks for conjugate heat transfer surrogate modeling Autor Ebbs-Picken, Takiah, Romero, David A., Da Silva, Carlos M., Amon, Cristina H.

“… In this work, we develop a modular deep encoder–decoder hierarchical (DeepEDH) convolutional neural network, a novel deep-learning-based surrogate modeling methodology for computationally intensive CHT analyses…”
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A novel deep convolutional encoder–decoder network: application to moving object detection in videos Autor Ganivada, Avatharam, Yara, Srinivas

“… and it’s important to determine the number. In this study, we propose a customized deep convolutional encoder…”
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Autor Badrinarayanan, Vijay, Kendall, Alex, Cipolla, Roberto

“…We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet…”
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Context prior-based with residual learning for face detection: A deep convolutional encoder–decoder network Autor Zhou, Zexun, He, Zhongshi, Jia, Yuanyuan, Du, Jinglong, Wang, Lulu, Chen, Ziyu

“… To solve this problem, we propose a deep convolutional neural network named feature hierarchy encoder–decoder network (FHEDN…”
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NL-CoWNet: A Deep Convolutional Encoder-Decoder Architecture for OCT Speckle Elimination Using Nonlocal and Subband Modulated DT-CWT Blocks Autor Arun, P. S., Francis, Bibin, Gopi, Varun P.

“… This article presents a novel deep convolutional encoder-decoder framework called NL-CoWNet for speckle elimination in OCT images…”
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Deep convolutional encoder–decoder networks based on ensemble learning for semantic segmentation of high-resolution aerial imagery Autor Zhu, Huming, Liu, Chendi, Li, Qiuming, Zhang, Lingyun, Wang, Libing, Li, Sifan, Jiao, Licheng, Hou, Biao

“… Although various deep neural network structures have been proposed to improve segmentation accuracy, there is still room for improving accuracy by making full use of multiscale features…”
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Cloud and Snow Segmentation in Satellite Images Using an Encoder–Decoder Deep Convolutional Neural Networks Autor Zheng, Kai, Li, Jiansheng, Ding, Lei, Yang, Jianfeng, Zhang, Xucheng, Zhang, Xun

“… In this paper, a cloud and snow segmentation method based on a deep convolutional neural network (DCNN…”
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Autonomous Concrete Crack Semantic Segmentation Using Deep Fully Convolutional Encoder–Decoder Network in Concrete Structures Inspection Autor Pu, Rundong, Ren, Guoqian, Li, Haijiang, Jiang, Wei, Zhang, Jisong, Qin, Honglei

“… This research focuses on image-based concrete crack pattern recognition utilizing a deep convolutional neural network (DCNN) and an encoder…”
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Statistical Post-Processing for Gridded Temperature Prediction Using Encoder–Decoder-Based Deep Convolutional Neural Networks Autor KUDO, Atsushi

“… has been challenging.In this study, an encoder–decoder-based convolutional neural network has been proposed to predict gridded temperatures at the surface around the Kanto region in Japan…”
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