Výsledky vyhledávání - Adaptive residual convolutional neural networks with encoder-decoder

An intelligent speech enhancement model using enhanced heuristic-based residual convolutional neural network with encoder-decoder architecture Autor Balasubrahmanyam, M., Valarmathi, R. S.

“…As the listening capacity exists in humans, they are facing the critical issues of understanding the speeches even in the presence of some background or other…”
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Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation Autor Du, Tianming, Zhang, Honggang, Li, Yuemeng, Pickup, Stephen, Rosen, Mark, Zhou, Rong, Song, Hee Kwon, Fan, Yong

“…). However, existing deep learning-based image reconstruction methods typically apply weight-sharing convolutional neural networks (CNNs…”
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Translating medical image to radiological report: Adaptive multilevel multi-attention approach Autor Gajbhiye, Gaurav O., Nandedkar, Abhijeet V., Faye, Ibrahima

“…•A novel encoder-decoder based “Adaptive Multilevel Multi-Attention Approach” is proposed to generate medical report for any view of chest X-ray image…”
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Enhancing In-loop Filter of HEVC with Integrated Residual Encoder-Decoder Network and Convolutional Neural Network Autor Moji, Vanishree, Gururaj, Bharathi, Murugavelu, Mathivanan

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Light Weight Encoder-Decoder for Underwater Images in Internet of Underwater Things (IoUT) Autor Nair, Rashmi S, Agrawal, Rohit, Domnic, S

“…Internet of Underwater Things (IoUT) explores the applications of Internet of Things (IoT) to monitor the sea animal habitat, observe atmosphere, and predict…”
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Attention-Based Encoder-Decoder Hybrid Network with Adaptive Thresholds for Critical Parameter Anomaly Detection of UAV Flight Data Autor Yang, Lei, Zhang, Yizong, Li, Shaobo, Zhang, Ansi, Liao, Zihao

“… to the accuracy of AD models. This study proposes an attention-based encoder-decoder hybrid network with adaptive thresholds (AEDHN…”
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An adaptive spatiotemporal dynamic graph convolutional network for traffic prediction Autor Xiao, Zhiguo, Shen, Qi, Li, Changgen, Li, Dongni, Liu, Qian

“… relationships between them. To address these limitations, we propose an adaptive spatiotemporal dynamic graph convolutional network (AST-DGCN…”
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A multi-scale convolutional neural network with adaptive weight fusion strategy for assisting glaucoma screening Autor Zhang, Xugang, Shen, Mo, Zhao, Lujiang, Gong, Qingshan, Yao, Junping

“… residual U-Net with context attention mechanism and adaptive weight fusion strategy (MRCAAU-Net) to segment OC and OD jointly…”
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A Cross-Scale residual attention network with convolutional kolmogorov-arnold for medical image segmentation Autor Liu, Shangwang, Cheng, Yulin, Lin, Yinghai, Jin, Xianglian, Wang, Hongwei, Wang, Yusen

“… To overcome these limitations, we propose Cross-Scale Residual Attention Network (CSRANet), a symmetric encoder…”
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Combining Contextual Information by Integrated Attention Mechanism in Convolutional Neural Networks for Digital Elevation Model Super-Resolution Autor Chen, Zhanlong, Han, Xiaoyi, Ma, Xiaochuan

“… The study of DEM super-resolution (SR) algorithms has relieved the need for HR DEMs. However, most CNN backbone network methods suffer from contextual information loss…”
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ADAPTIVE-NET: deep computed tomography reconstruction network with analytical domain transformation knowledge Autor Ge, Yongshuai, Su, Ting, Zhu, Jiongtao, Deng, Xiaolei, Zhang, Qiyang, Chen, Jianwei, Hu, Zhanli, Zheng, Hairong, Liang, Dong

“… In this study, we proposed a new convolutional neural network (called ADAPTIVE-NET) to perform CT image reconstruction directly from a sinogram by integrating the analytical domain transformation knowledge…”
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Automatic Segmentation of Cervical Cells Based on Star-Convex Polygons in Pap Smear Images Autor Zhao, Yanli, Fu, Chong, Zhang, Wenchao, Ye, Chen, Wang, Zhixiao, Ma, Hong-feng

“… To address the above problems, we propose a novel star-convex polygon-based convolutional neural network with an encoder-decoder…”
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Effect of Data Division on Classification Performance of Overlapping Red Blood Cells using Sharpening Image Segmentation Strategy and Convolutional Neural Network Autor Arianti, Nunik Destria, Ahmad, Norashikin, Muda, Azah Kamilah

“…In order to dynamically create a sequence of textual descriptions for images, image description models often make use of the attention mechanism, which…”
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Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging Autor Du, Tianming, Zhang, Honggang, Li, Yuemeng, Hee Kwon Song, Fan, Yong

“… To overcome such limitations, we develop a deep learning algorithm, referred to as adaptive convolutional neural networks for k-space data interpolation (ACNN-k-Space…”
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Multi-Scale Spatial Perception Attention Network for Few-Shot Hyperspectral Image Classification Autor Li, Yang, Luo, Jian, Long, Haoyu, Jin, Qianqian

“…) for few-shot HSI classification in this article. This method is based on an encoder-decoder fully convolutional network (FCN…”
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Structure-preserving low-dose computed tomography image denoising using a deep residual adaptive global context attention network Autor Zhang, Yuanke, Hao, Dejing, Lin, Yingying, Sun, Wanxin, Zhang, Jinke, Meng, Jing, Ma, Fei, Guo, Yanfei, Lu, Hongbing, Li, Guangshun, Liu, Jianlei

“… Deep convolutional neural networks (CNNs) have shown their potential in improving LDCT image quality…”
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Suppressing Drilling Noise From Seismic Data Based on Multiscale Generator Network With Adaptive Feature Extraction Autor Ma, Yifan, Wen, Xiaotao, Lei, Yang, Wen, Wu, Ren, Hongping

“… The constructed network primarily consists of a dual-layer encoder-decoder structure. In the encoder, we designed an adaptive feature extraction module (AFEM…”
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JPEG steganalysis with combined dense connected CNNs and SCA-GFR Autor Yang, Jianhua, Kang, Xiangui, Wong, Edward K., Shi, Yun-Qing

“… In this paper, we propose a 32-layer convolutional neural network (CNN) involving feature reuse by concatenating all features from previous layers…”
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ADCFormer: A hybrid model of Adaptive Depth-wise Convolution and Transformer for retinal macular edema segmentation in OCT images Autor Xu, Han, Lv, Ruichan

“… the accuracy of DME detection. In this research, a hybrid model of Adaptive Depth-wise Convolution and Transformer (ADCFormer…”
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DCANet: A Dual-Branch Cross-Scale Feature Aggregation Network for Remote Sensing Image Semantic Segmentation Autor Yang, Yanhong, Wang, Fei, Zhang, Haozheng, Xue, Yushan, Zhang, Guodao, Chen, Shengyong

“… features, thus limiting model performance. In this article, we introduce DCANet, a dual-branch cross-scale feature aggregation network based on an encoder-decoder framework, incorporating visual-state-space (VSS…”
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