Search Results - neural network with encoder-((decoder architecture) OR (design architecture))~

DSLSTM: a deep convolutional encoder–decoder architecture for abnormality detection in video surveillance by Roka, Sanjay, Diwakar, Manoj

“… This paper proposes a novel two-stream spatial and temporal architecture called Deep Stacked LSTM (DSLSTM…”
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Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture by Wang, Zhumei, Su, Xing, Ding, Zhiming

“… In the encoder-decoder model, we propose an hard attention mechanism based on learning similar patterns to enhance neuronal memory and reduce the accumulation of error propagation…”
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Enhanced encoder–decoder architecture for visual perception multitasking of autonomous driving by Usman, Muhammad, Zaka-Ud-Din, Muhammad, Ling, Qiang

“… and efficient visual perception. Our approach utilizes a shared-encoder architecture with three separate decoders, targeting each specific task…”
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Encoder–Decoder Architecture for 3D Seismic Inversion by Gelboim, Maayan, Adler, Amir, Sun, Yen, Araya-Polo, Mauricio

“… We implement and analyze a convolutional encoder–decoder architecture that efficiently processes the entire collection of hundreds…”
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Novel Encoder–Decoder Architecture with Attention Mechanisms for Satellite-Based Environmental Forecasting in Smart City Applications by Panhwar, Kalsoom, Soomro, Bushra Naz, Bhatti, Sania, Jaskani, Fawwad Hassan

“… The proposed encoder–decoder architecture combines Convolutional Neural Networks (CNNs) for spatial feature extraction from high-resolution satellite imagery with modified Long Short-Term Memory (LSTM…”
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Enhanced Deep Learning Approach Based on the Deep Convolutional Encoder-Decoder Architecture for Electromagnetic Inverse Scattering Problems by 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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T-Net: Nested encoder–decoder architecture for the main vessel segmentation in coronary angiography by Jun, Tae Joon, Kweon, Jihoon, Kim, Young-Hak, Kim, Daeyoung

“…In this paper, we proposed nested encoder–decoder architecture named T-Net. T-Net consists of several small encoder…”
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Semantic segmentation of retinal exudates using a residual encoder–decoder architecture in diabetic retinopathy by Manan, Malik Abdul, Jinchao, Feng, Khan, Tariq M., Yaqub, Muhammad, Ahmed, Shahzad, Chuhan, Imran shabir

“… In this paper, we present a comparison of deep convolutional neural network (CNN) architectures and propose a residual CNN…”
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MCSGNet: A Encoder–Decoder Architecture Network for Land Cover Classification by Hu, Kai, Zhang, Enwei, Dai, Xin, Xia, Min, Zhou, Fenghua, Weng, Liguo, Lin, Haifeng

“… Here, a multi-scale contextual semantic guidance network is proposed for the classification of land cover types by deep learning…”
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Recurrent and convolutional neural networks in structural dynamics: a modified attention steered encoder–decoder architecture versus LSTM versus GRU versus TCN topologies to predict the response of shock wave-loaded plates by Tandale, Saurabh Balkrishna, Stoffel, Marcus

“…The aim of the present study is to analyse and predict the structural deformations occurring during shock tube experiments with a series of recurrent and temporal convolutional neural networks…”
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation by 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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Implementing the Fast Full Wave Electromagnetic Forward Solver Using the Deep Convolutional Encoder-Decoder Architecture by 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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Enhanced encoder–decoder architecture for accurate monocular depth estimation by Das, Dabbrata, Das, Argho Deb, Sadaf, Farhan

“… This paper introduces a novel deep-learning-based approach using an enhanced encoder–decoder architecture, where the Inception-ResNet-v2 model serves as the encoder…”
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Towards bi-directional skip connections in encoder-decoder architectures and beyond by Xiang, Tiange, Zhang, Chaoyi, Wang, Xinyi, Song, Yang, Liu, Dongnan, Huang, Heng, Cai, Weidong

“…•We propose bi-directional skip connections in encoder-decoder architectures for an iterative aggregation of encoded and decoded features…”
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EDWNet: A Novel Encoder–Decoder Architecture Network for Water Body Extraction from Optical Images by Zhang, Tianyi, Ji, Wenbo, Li, Weibin, Qin, Chenhao, Wang, Tianhao, Ren, Yi, Fang, Yuan, Han, Zhixiong, Jiao, Licheng

“…–decoder architecture semantic segmentation network for high-precision extraction of WBs called EDWNet…”
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Modeling urban growth using video prediction technology: A time‐dependent convolutional encoder–decoder architecture by 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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Aircraft Trajectory Prediction With Enriched Intent Using Encoder-Decoder Architecture by Tran, Phu N., Nguyen, Hoang Q. V., Pham, Duc-Thinh, Alam, Sameer

“… The proposed model adopts the encoder-decoder architecture and makes use of the convolutional layer as well as Gated Recurrent Units (GRUs…”
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CrashNet: an encoder–decoder architecture to predict crash test outcomes by Belaid, Mohamed Karim, Rabus, Maximilian, Krestel, Ralf

“… We propose CrashNet, an encoder–decoder deep neural network architecture that reduces costs further and models specific outcomes of car crashes very accurately…”
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An Encoder–Decoder Architecture within a Classical Signal-Processing Framework for Real-Time Barcode Segmentation by Gómez-Cárdenes, Óscar, Marichal-Hernández, José Gil, Son, Jung-Young, Pérez Jiménez, Rafael, Rodríguez-Ramos, José Manuel

“… The second one uses an encoder–decoder structure inspired by state-of-the-art convolutional neural networks for segmentation while maintaining a classical processing framework, thus not requiring training…”
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SVInvNet: A Densely Connected Encoder-Decoder Architecture for Seismic Velocity Inversion by Najafi Khatounabad, Mojtaba, Yalim Keles, Hacer, Kadioglu, Selma

“… Our seismic velocity inversion network (SVInvNet) introduces a novel architecture that contains a multiconnection encoder-decoder structure enhanced with dense blocks…”
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