Suchergebnisse - "Encoder-Decoder architectures"

Deep Learning-Based Automated Extraction of Anthropometric Measurements From a Single 3-D Scan von Kaashki, Nastaran Nourbakhsh, Hu, Pengpeng, Munteanu, Adrian

“… The appearance of 3-D scanners, generating point clouds, has revolutionized anthropometric data collection systems and their applications. Anthropometric data …”
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Encoder-Decoder Architectures for Silent Speech Recognition based on High-density Surface Electromyogram von Chen, Xi, Zhang, Xu, Chen, Xiang, Chen, Xun

“… In this study, we propose a convolutional Long Short-Term Memory-based encoder-decoder architecture to characterize and decode silent speech without time-alignment training data …”
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Opinion-unaware blind picture quality measurement using deep encoder–decoder architecture von Zhou, Wujie, Lin, Xinyang, Zhou, Xi, Lei, Jingsheng, Yu, Lu, Luo, Ting

“… Inspired by this, we propose a deep encoder–decoder architecture (DEDA) for opinion-unaware (OU …”
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Decoder-Only Image Registration von Jia, Xi, Lu, Wenqi, Cheng, Xinxing, Duan, Jinming

“… In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images …”
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Autosegmentation of Prostate Zones and Cancer Regions from Biparametric Magnetic Resonance Images by Using Deep-Learning-Based Neural Networks von Lai, Chih-Ching, Wang, Hsin-Kai, Wang, Fu-Nien, Peng, Yu-Ching, Lin, Tzu-Ping, Peng, Hsu-Hsia, Shen, Shu-Huei

“… For each subject, all slices that contained the transition zone (TZ), peripheral …”
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The exploration of a Temporal Convolutional Network combined with Encoder-Decoder framework for runoff forecasting von Lin, Kangling, Sheng, Sheng, Zhou, Yanlai, Liu, Feng, Li, Zhiyu, Chen, Hua, Xu, Chong-Yu, Chen, Jie, Guo, Shenglian

“… The Temporal Convolutional Network (TCN) and TCN combined with the Encoder-Decoder architecture (TCN-ED …”
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Multipath cycleGAN for harmonization of paired and unpaired low‐dose lung computed tomography reconstruction kernels von Krishnan, Aravind R., Li, Thomas Z., Remedios, Lucas W., Kim, Michael E., Gao, Chenyu, Rudravaram, Gaurav, McMaster, Elyssa M., Saunders, Adam M., Bao, Shunxing, Xu, Kaiwen, Zuo, Lianrui, Sandler, Kim L., Maldonado, Fabien, Huo, Yuankai, Landman, Bennett A.

“… Background Reconstruction kernels in computed tomography (CT) introduce variability in spatial resolution and noise distribution, creating systematic …”
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Regularised Encoder-Decoder Architecture for Anomaly Detection in ECG Time Signals von Chandra, Ashutosh, Kala, Rahul

“… The recorded time series ECG signal are often used by medical professionals to detect any arrhythmia the subject …”
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Semantic Reasoning Using Standard Attention-Based Models: An Application to Chronic Disease Literature von Balderas-Martínez, Yalbi Itzel, Sánchez-Rojas, José Armando, Téllez-Velázquez, Arturo, Juárez Martínez, Flavio, Cruz-Barbosa, Raúl, Guzmán-Ramírez, Enrique, García-Pacheco, Iván, Arroyo-Fernández, Ignacio

“… At the other extreme, standard attention-based neural language models (SANLMs)—including encoder–decoder architectures such as Transformers, Gated Recurrent Units …”
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Design and Implementation of Power Efficient Encoder for Transition Reduction in Off-Chip Buses Using Adaptive Bus Encoding Technique von Sundhar, A., Valli, R., Navajothy, J., Bhyravaswamy, Patta, Sivapritha, S.

“… With subject to this, the adaptive bus encoding (ABE) mechanism is introduced which is executed without the preliminary knowledge about the required input streams …”
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Sequence-to-Sequence Spanish Pre-trained Language Models von Araujo, Vladimir, Trusca, Maria Mihaela, Tufiño, Rodrigo, Marie-Francine Moens

“… This paper breaks new ground by introducing the implementation and evaluation of renowned encoder-decoder architectures exclusively pre-trained on Spanish corpora …”
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BX2S-Net: Learning to reconstruct 3D spinal structures from bi-planar X-ray images von Chen, Zheye, Guo, Lijun, Zhang, Rong, Fang, Zhongding, He, Xiuchao, Wang, Jianhua

“… Grasping good understanding of the weight-bearing spatial structure of the spine of a human subject in a standing position is critical for the treatment of spinal disorders …”
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The shape variational autoencoder: A deep generative model of part‐segmented 3D objects von Nash, C., Williams, C. K. I.

“… Our model makes use of a deep encoder‐decoder architecture that leverages the part‐decomposability of 3D objects to embed high …”
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Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network von Guo, Zhihui, Zhang, Honghai, Chen, Zhi, van der Plas, Ellen, Gutmann, Laurie, Thedens, Daniel, Nopoulos, Peggy, Sonka, Milan

“… •Our method is robust in MR images from both healthy subjects and patients with DM1. Automated segmentation of individual calf muscle compartments from 3D magnetic resonance (MR …”
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RelTR: Relation Transformer for Scene Graph Generation von Cong, Yuren, Yang, Michael Ying, Rosenhahn, Bodo

“… In this article, we propose an end-to-end scene graph generation model Relation Transformer (RelTR), which has an encoder-decoder architecture …”
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CMOS-GAN: Semi-supervised Generative Adversarial Model for Cross-Modality Face Image Synthesis von Yu, Shikang, Han, Hu, Shan, Shiguang, Chen, Xilin

“… Specifically, CMOS-GAN uses a generator of encoder-decoder architecture for new modality synthesis …”
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3D cardiac shape analysis with variational point cloud autoencoders for myocardial infarction prediction and virtual heart synthesis von Beetz, Marcel, Banerjee, Abhirup, Li, Lei, Camps, Julia, Rodriguez, Blanca, Grau, Vicente

“… –decoder architecture enables efficient multi-scale feature learning directly on high resolution point cloud representations of the multi-class 3D cardiac anatomy and can capture complex non-linear 3D …”
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Prediction of in-plane organ deformation during free-breathing radiotherapy via discriminative spatial transformer networks von Romaguera, Liset Vázquez, Plantefève, Rosalie, Romero, Francisco Perdigón, Hébert, François, Carrier, Jean-François, Kadoury, Samuel

“… We propose a novel framework to predict the in-plane organ motion. We introduce a recurrent encoder-decoder architecture which leverages feature …”
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HOTR: End-to-End Human-Object Interaction Detection with Transformers von Kim, Bumsoo, Lee, Junhyun, Kang, Jaewoo, Kim, Eun-Sol, Kim, Hyunwoo J.

“… 〉 triplets from an image based on a transformer encoder-decoder architecture. Through the set prediction, our method effectively exploits the inherent semantic …”
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Improving Cross-Subject Emotion Recognition Performance with an Encoder-Decoder Structure von Cui, Haowei, Shi, Hanwen, Lu, Bao-Liang, Zheng, Wei-Long

“… Due to individual differences, emotion recognition performance of cross-subject models is significantly lower than that of subject-dependent models …”
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