Suchergebnisse - "Fully convolutional encoder–decoder networks"

Optimizing the Hyperparameters of Fully Convolutional Encoder-Decoder Networks for SAR Image Segmentation von 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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Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image von Grard, Matthieu, Dellandréa, Emmanuel, Chen, Liming

“… Occlusion-aware instance-sensitive segmentation is a complex task generally split into region-based segmentations, by approximating instances as their bounding …”
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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

“… The visual inspection of massive civil infrastructure is a common trend for maintaining its reliability and structural health. However, this procedure, which …”
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Object Contour Detection with a Fully Convolutional Encoder-Decoder Network von 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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Denoising Raman spectra using fully convolutional encoder–decoder network von Loc, Irem, Kecoglu, Ibrahim, Unlu, Mehmet Burcin, Parlatan, Ugur

“… Raman spectroscopy is a vibrational method that gives molecular information rapidly and non‐invasively. Despite its advantages, the weak intensity of Raman …”
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LF-SegNet: A Fully Convolutional Encoder–Decoder Network for Segmenting Lung Fields from Chest Radiographs von 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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Inversion and identification of vertical track irregularities considering the differential subgrade settlement based on fully convolutional encoder-decoder network von 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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Automatic Building Extraction From High-Resolution Aerial Imagery via Fully Convolutional Encoder-Decoder Network With Non-Local Block von Wang, Shengsheng, Hou, Xiaowei, Zhao, Xin

“… Extracting buildings automatically from high-resolution aerial images is a significant and fundamental task for various practical applications, such as …”
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Microseismic Signal Denoising and Separation Based on Fully Convolutional Encoder–Decoder Network von Zhang, Hang, Ma, Chunchi, Pazzi, Veronica, Zou, Yulin, Casagli, Nicola

“… Denoising methods are a highly desired component of signal processing, and they can separate the signal of interest from noise to improve the subsequent signal …”
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Autonomous Concrete Crack Semantic Segmentation Using Deep Fully Convolutional Encoder–Decoder Network in Concrete Structures Inspection von Pu, Rundong, Ren, Guoqian, Li, Haijiang, Jiang, Wei, Zhang, Jisong, Qin, Honglei

“… Structure health inspection is the way to ensure that structures stay in optimum condition. Traditional inspection work has many disadvantages in dealing with …”
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Very deep fully convolutional encoder–decoder network based on wavelet transform for art image fusion in cloud computing environment von 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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Optimizing Fully Convolutional Encoder-Decoder Network for Segmentation of Diabetic Eye Disease von 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 von 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 von Dumbrique, Jakov Ivan S., Hernandez, Reynan B., Cruz, Juan Miguel L., Pagdanganan, Ryan M., Naval, Prospero C.

“… Pneumothorax, a life-threatening condition characterized by air accumulation in the pleural cavity, requires early and accurate detection for optimal patient …”
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Enhancing time‐frequency resolution via deep‐learning framework von 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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A novel SpaSA based hyper-parameter optimized FCEDN with adaptive CNN classification for skin cancer detection von Ali, Rizwan, Manikandan, A., Lei, Rui, Xu, Jinghong

“… The fully convolutional encoder–decoder network and Sparrow search algorithm (FCEDN-SpaSA) are proposed in this study …”
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A Fully Convolutional Encoder-Decoder Network for Moving Object Segmentation von Turker, Anil, Eksioglu, Ender M.

“… Moving object segmentation (MOS) is one of the important and well-studied computer vision problems. It is used in applications such as video surveillance …”
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Raman Signal Denoising using Fully Convolutional Encoder Decoder Network von Loc, Irem, Kecoglu, Ibrahim, Unlu, Mehmet Burcin, Parlatan, Ugur

“… Raman spectroscopy is a vibrational method that gives molecular information rapidly and non-invasively. Despite its advantages, the weak intensity of Raman …”
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DRSegNet: A cutting-edge approach to Diabetic Retinopathy segmentation and classification using parameter-aware Nature-Inspired optimization von Kamal, Sundreen Asad, Du, Youtian, Khalid, Majdi, Farrash, Majed, Dhelim, Sahraoui

“… ), and Fully Convolutional Encoder-Decoder Networks (FCEDN). This is achieved using Generative Adversarial Networks (GANs …”
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SABA: Scale-adaptive Attention and Boundary Aware Network for real-time semantic segmentation von Luo, Huilan, Liu, Chunyan, Shark, Lik-Kwan

“… Based on an analysis of recent fully convolutional encoder–decoder networks, we propose a novel Scale-adaptive Attention and Boundary Aware (SABA …”
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