Search Results - Fully convolutional encoder–decoder networks

Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder–Decoder Network by 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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Optimizing the Hyperparameters of Fully Convolutional Encoder-Decoder Networks for SAR Image Segmentation by Liu, Yuanyue, Zhao, Jin, Fan, Jianchao, Wang, Jun

“…Fully convolutional encoder-decoder networks have been developed for the segmentation of sensing synthetic aperture radar (SAR) images…”
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Denoising Raman spectra using fully convolutional encoder–decoder network by 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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Hybrid Attention-Based Encoder–Decoder Fully Convolutional Network for PolSAR Image Classification by Fang, Zheng, Zhang, Gong, Dai, Qijun, Xue, Biao, Wang, Peng

“… In this paper, a hybrid attention-based encoder–decoder fully convolutional network (HA-EDNet) is presented for PolSAR classification…”
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LF-SegNet: A Fully Convolutional Encoder–Decoder Network for Segmenting Lung Fields from Chest Radiographs by Mittal, Ajay, Hooda, Rahul, Sofat, Sanjeev

“… This paper presents a deep learning-based fully convolutional encoder-decoder network for segmenting lung fields from chest radiographs…”
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Microseismic Signal Denoising and Separation Based on Fully Convolutional Encoder–Decoder Network by Zhang, Hang, Ma, Chunchi, Pazzi, Veronica, Zou, Yulin, Casagli, Nicola

“… In this paper, an advanced denoising method based on a fully convolutional encoder–decoder neural network is proposed…”
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Autonomous Concrete Crack Semantic Segmentation Using Deep Fully Convolutional Encoder–Decoder Network in Concrete Structures Inspection by 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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Very deep fully convolutional encoder–decoder network based on wavelet transform for art image fusion in cloud computing environment by Chen, Tong, Yang, Juan

“… Therefore, we propose a very deep fully convolutional encoder–decoder network based on wavelet transform for art image fusion in the cloud computing environment…”
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Object Contour Detection with a Fully Convolutional Encoder-Decoder Network by Jimei Yang, Price, Brian, Cohen, Scott, Honglak Lee, Ming-Hsuan Yang

“…We develop a deep learning algorithm for contour detection with a fully convolutional encoder-decoder network…”
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Inversion and identification of vertical track irregularities considering the differential subgrade settlement based on fully convolutional encoder-decoder network by Chen, Mei, Zhu, Shengyang, Zhai, Wanming, Sun, Yu, Zhang, Qinglai

“…•A vehicle system acceleration-based method for track irregularity inversion is developed.•A 1-D fully convolutional encoder-decoder network is designed and the effectiveness and robustness are demonstrated.•A time…”
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A Fully Convolutional Encoder-Decoder Spatial-Temporal Network for Real-Time Background Subtraction by Qiu, Mingkai, Li, Xiying

“… In this paper, we propose a fully convolutional encoder-decoder spatial-temporal network (FCESNet) to achieve real-time background subtraction…”
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Automatic Building Extraction From High-Resolution Aerial Imagery via Fully Convolutional Encoder-Decoder Network With Non-Local Block by Wang, Shengsheng, Hou, Xiaowei, Zhao, Xin

“… Recently, various methods based on deep learning, especially the fully convolution networks, achieve impressive scores in this challenging semantic segmentation task…”
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Spatio-Temporal Encoder-Decoder Fully Convolutional Network for Video-Based Dimensional Emotion Recognition by Du, Zhengyin, Wu, Suowei, Huang, Di, Li, Weixin, Wang, Yunhong

“… In this paper, we present a novel encoder-decoder framework to tackle this problem. It adopts a fully convolutional design with the cascaded 2D convolution based spatial…”
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Enhancing time‐frequency resolution via deep‐learning framework by Wang, Zixin, Chen, Lixing, Xiao, Peng, Xu, Lingji, Li, Zhenglin

“…‐convolutional encoder‐decoder network is trained to preserve effective features and acquire the optimal time‐frequency…”
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Optimizing Fully Convolutional Encoder-Decoder Network for Segmentation of Diabetic Eye Disease by Khan, Abdul Qadir, Sun, Guangmin, Li, Yu, Bilal, Anas, Manan, Malik Abdul

“… To this end, our research introduces a hyperparameter-optimized Fully Convolutional Encoder-Decoder Network (FCEDN…”
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A novel deep fully convolutional encoder-decoder network and similarity analysis for English education text event clustering analysis by Jing, Zhenping

“… Therefore, we propose a novel deep fully convolutional encoder-decoder network and similarity analysis for English education text event clustering analysis in online social networks…”
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Pneumothorax detection and segmentation from chest X-ray radiographs using a patch-based fully convolutional encoder-decoder network by Dumbrique, Jakov Ivan S., Hernandez, Reynan B., Cruz, Juan Miguel L., Pagdanganan, Ryan M., Naval, Prospero C.

“… We propose a novel architecture that combines the advantages of fully convolutional neural networks (FCNNs…”
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A fully-convolutional residual encoder-decoder neural network to localize breast cancer on histopathology images by Farajzadeh, Nacer, Sadeghzadeh, Nima, Hashemzadeh, Mahdi

“…Cancer detection in its early stages may allow patients to receive the proper treatment and save lives along with recovering the routine lifestyles. Breast…”
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Underwater Acoustic Signal Noise Reduction Based on a Fully Convolutional Encoder-Decoder Neural Network by Song, Yongqiang, Chu, Qian, Liu, Feng, Wang, Tao, Shen, Tongsheng

“… A fully convolutional encoder-decoder neural network (FCEDN) is proposed to address the issue of noise reduction in underwater acoustic signals…”
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Detection of black box signal based on encoder-decoder fully convolutional networks by Ji, Huazhong, Zhou, Jie, Pan, Xiang

“… Inspired by the successful application of fully convolutional networks (FCN) in the field of pixel-level image classification, an encoder-decoder network with skip…”
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