Search Results - "Encoder-decoder network"

Contextual encoder–decoder network for visual saliency prediction by Kroner, Alexander, Senden, Mario, Driessens, Kurt, Goebel, Rainer

“…Predicting salient regions in natural images requires the detection of objects that are present in a scene. To develop robust representations for this…”
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Encoder–decoder network for pixel‐level road crack detection in black‐box images by Bang, Seongdeok, Park, Somin, Kim, Hongjo, Kim, Hyoungkwan

“…‐box images using a deep convolutional encoder–decoder network. The encoder consists of convolutional layers of the residual network for extracting crack features…”
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A lightweight encoder–decoder network for automatic pavement crack detection by Zhu, Guijie, Liu, Jiacheng, Fan, Zhun, Yuan, Duan, Ma, Peili, Wang, Meihua, Sheng, Weihua, Wang, Kelvin C. P.

“… Thus, this paper proposes an efficient lightweight encoder–decoder network for automatically detecting pavement cracks at the pixel level…”
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Deep Hierarchical Encoder-Decoder Network for Image Captioning by Xiao, Xinyu, Wang, Lingfeng, Ding, Kun, Xiang, Shiming, Pan, Chunhong

“… To deal with these problems, a novel deep hierarchical encoder-decoder network is proposed for image captioning, where a deep hierarchical structure is explored to separate the functions of encoder and decoder…”
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A novel U‐shaped encoder–decoder network with attention mechanism for detection and evaluation of road cracks at pixel level by Chen, Jun, He, Ye

“…As the most common road distress, cracks have a substantial influence on the integrity of pavement structures. Accurate identification of crack existence and…”
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DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem by Häggström, Ida, Schmidtlein, C. Ross, Campanella, Gabriele, Fuchs, Thomas J.

“…•Positron Emission Tomography (PET) has become a key imaging method in cancer care.•DeepPET is a deep neural network to reconstruct images directly from PET…”
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AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization by Zhang, Xiao-Yu, Li, Changsheng, Shi, Haichao, Zhu, Xiaobin, Li, Peng, Dong, Jing

“… This article proposes a novel adaptability decomposing encoder-decoder network to transfer reliable knowledge between the trimmed and untrimmed videos for action…”
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STEDNet: Swin transformer‐based encoder–decoder network for noise reduction in low‐dose CT by Zhu, Linlin, Han, Yu, Xi, Xiaoqi, Fu, Huijuan, Tan, Siyu, Liu, Mengnan, Yang, Shuangzhan, Liu, Chang, Li, Lei, Yan, Bin

“…Background Low‐dose computed tomography (LDCT) can reduce the dose of X‐ray radiation, making it increasingly significant for routine clinical diagnosis and…”
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Dense-U-net: Dense encoder–decoder network for holographic imaging of 3D particle fields by Wu, Yufeng, Wu, Jiachen, Jin, Shangzhong, Cao, Liangcai, Jin, Guofan

“… (2D) lensless hologram. A dense encoder–decoder network, called Dense-U-net, is proposed to realize the reconstruction of a 3D particle field…”
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CEDNet: A cascade encoder–decoder network for dense prediction by Zhang, Gang, Li, Ziyi, Tang, Chufeng, Li, Jianmin, Hu, Xiaolin

“…-optimal performance. We propose a streamlined cascade encoder–decoder network, named CEDNet, tailored for dense prediction tasks…”
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CUFD: An encoder–decoder network for visible and infrared image fusion based on common and unique feature decomposition by Xu, Han, Gong, Meiqi, Tian, Xin, Huang, Jun, Ma, Jiayi

“… It adopts two pairs of encoder–decoder networks to implement feature map extraction and decomposition, respectively…”
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Attention-Gate-Based Encoder-Decoder Network for Automatical Building Extraction by Deng, Wenjing, Shi, Qian, Li, Jun

“…Rapidly developing remote sensing technology provides massive data for urban planning, mapping, and disaster management. As a carrier of human productive…”
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3D deep encoder-decoder network for fluorescence molecular tomography by Guo, Lin, Liu, Fei, Cai, Chuangjian, Liu, Jie, Zhang, Guanglei

“…Fluorescence molecular tomography (FMT) is a promising and noninvasive in vivo functional imaging modality. However, the quality of FMT reconstruction is…”
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A sigmoid‐optimized encoder–decoder network for crack segmentation with copy‐edit‐paste transfer learning by Çelik, Firdes, König, Markus

“…The automatic recognition of cracks is an essential requirement for the cost‐efficient maintenance of concrete structures, such as bridges, buildings, and…”
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FRED-Net: Fully residual encoder–decoder network for accurate iris segmentation by Arsalan, Muhammad, Kim, Dong Seop, Lee, Min Beom, Owais, Muhammad, Park, Kang Ryoung

“…•Proposed FRED-Net is an end-to-end semantic segmentation network for iris and road scene.•FRED-Net is a standalone network where eyelid, eyelash, and glint…”
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Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder–Decoder Network by 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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Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network by 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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SoftPool++: An Encoder–Decoder Network for Point Cloud Completion by Wang, Yida, Tan, David Joseph, Navab, Nassir, Tombari, Federico

“…We propose a novel convolutional operator for the task of point cloud completion. One striking characteristic of our approach is that, conversely to related…”
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Real-Time 3D Face Alignment Using an Encoder-Decoder Network With an Efficient Deconvolution Layer by Ning, Xin, Duan, Pengfei, Li, Weijun, Zhang, Shaolin

“… To this end, this study presents a real-time 3D face-alignment method that uses an encoder-decoder network with an efficient deconvolution layer…”
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FFEDN: Feature Fusion Encoder Decoder Network for Crack Detection by Liu, Chuanqi, Zhu, Chengguang, Xia, Xuan, Zhao, Jiankang, Long, Haihui

“… Therefore, an end-to-end network Feature Fusion Encoder Decoder Network (FFEDN) with two novel modules is proposed to improve the crack detection accuracy…”
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