Suchergebnisse - Convolutional Encoders and Decoder

Elastic Full Waveform Inversion using a Physics guided deep convolutional encoder-decoder von 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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Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification von 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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Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network von Chen, Hu, Zhang, Yi, Kalra, Mannudeep K., Lin, Feng, Chen, Yang, Liao, Peixi, Zhou, Jiliu, Wang, Ge

“… while keeping structural details. Inspired by the idea of deep learning, here we combine the autoencoder, deconvolution network, and shortcut connections into the residual encoder-decoder convolutional neural network (RED-CNN …”
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PixISegNet: pixel-level iris segmentation network using convolutional encoder–decoder with stacked hourglass bottleneck von Jha, Ranjeet Ranjan, Jaswal, Gaurav, Gupta, Divij, Saini, Shreshth, Nigam, Aditya

“… hyper-parameterisation of crucial parameters. The proposed PixISegNet consists of an autoencoder which primarily uses long and short skip connections and a stacked hourglass network between encoder and decoder …”
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Convolutional encoder–decoder networks for pixel-wise ear detection and segmentation von Emeršič, Žiga, Gabriel, Luka L, Štruc, Vitomir, Peer, Peter

“… if applied on ear images captured in unconstrained settings. To address these shortcomings, we present a novel ear detection technique based on convolutional encoder-decoder networks (CEDs …”
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A Novel Approach to Fetal ECG Extraction Using Temporal Convolutional Encoder–Decoder Network (TCED-Net) von Huang, Haiping

“… First, based on the relationship between the maternal chest ECG signal and the maternal ECG component in the abdominal signal, the temporal convolutional encoder-decoder network (TCED-Net …”
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Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media von 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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Modeling urban growth using video prediction technology: A time‐dependent convolutional encoder–decoder architecture von Jaad, Ahmed, Abdelghany, Khaled

“… ‐dependent convolutional encoder–decoder architecture. The methodology's input includes a satellite image for the base year and the prediction horizon …”
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Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder–Decoder Network von Islam, M. M. Manjurul, Kim, Jong-Myon

“… It consists of a fully convolutional neural network (FCN) with an encoder and decoder framework for semantic segmentation, which performs pixel-wise classification to accurately detect cracks …”
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Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network von Huang, Gexin, Liu, Ke, Liang, Jiawen, Cai, Chang, Gu, Zheng Hui, Qi, Feifei, Li, Yuanqing, Yu, Zhu Liang, Wu, Wei

“… To overcome this limitation, in this article, a novel data-synthesized spatiotemporally convolutional encoder-decoder network (DST-CedNet …”
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Enhanced Deep Learning Approach Based on the Deep Convolutional Encoder-Decoder Architecture for Electromagnetic Inverse Scattering Problems von 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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Automatic segmentation of intracerebral hemorrhage in CT images using encoder–decoder convolutional neural network von Hu, Kai, Chen, Kai, He, Xizhi, Zhang, Yuan, Chen, Zhineng, Li, Xuanya, Gao, Xieping

“… •We develop an encoder-decoder convolutional neural network (ED-Net).•We introduce a synthetic loss function to overcome the data imbalanced problem …”
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Anomaly Detection and Segmentation for Wafer Defect Patterns Using Deep Convolutional Encoder-Decoder Neural Network Architectures in Semiconductor Manufacturing von 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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Learning Semantic Graphics Using Convolutional Encoder–Decoder Network for Autonomous Weeding in Paddy von Adhikari, Shyam Prasad, Yang, Heechan, Kim, Hyongsuk

“… In this work, a novel neural network training method combining semantic graphics for data annotation and an advanced encoder …”
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A Deep Convolutional Encoder–Decoder–Restorer Architecture for Image Deblurring von 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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Denoising Raman spectra using fully convolutional encoder–decoder network von Loc, Irem, Kecoglu, Ibrahim, Unlu, Mehmet Burcin, Parlatan, Ugur

“… × lower exposure times. In this work, we developed fully convolutional encoder‐decoder architecture (FCED …”
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Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder–decoder network von Lei, Baiying, Huang, Shan, Li, Ran, Bian, Cheng, Li, Hang, Chou, Yi-Hong, Cheng, Jie-Zhi

“… ) images is a very challenging task. A boundary regularized deep convolutional encoder–decoder network (ConvEDNet) is proposed here to address this challenge …”
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PEDSA: High-Throughput Pipeline-Based FPGA Accelerator for Convolutional Encoder-Decoder Segmentation Networks von Jiang, Yuxian, Li, Zhan, Zhang, Zhihan, Wang, Hao, Chang, Sheng

“… Based on these motivations, we proposed pipelined encoder-decoder segmentation model accelerator (PEDSA …”
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MVCT image enhancement using reference-based encoder–decoder convolutional neural network von Jin, Shuang, Xu, Xiaotong, Su, Zhe, Tang, Long, Zheng, Mengxun, Liang, Peiwen, Zhang, Hua

“… –decoder convolutional neural network (RefED-CNN) by incorporating a feature extraction and alignment (FEA …”
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Implementing the Fast Full Wave Electromagnetic Forward Solver Using the Deep Convolutional Encoder-Decoder Architecture von 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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