Výsledky vyhledávání - Encoder–decoder structure

Self-Attention (SA)-ConvLSTM Encoder–Decoder Structure-Based Video Prediction for Dynamic Motion Estimation Autor Kim, Jeongdae, Choo, Hyunseung, Jeong, Jongpil

“…–decoder structure using self-attention ConvLSTM (SA-ConvLSTM), which retains…”
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Moving Object Detection Method via ResNet-18 With Encoder-Decoder Structure in Complex Scenes Autor Ou, Xianfeng, Yan, Pengcheng, Zhang, Yiming, Tu, Bing, Zhang, Guoyun, Wu, Jianhui, Li, Wujing

“… To solve this problem, a moving object detection method via ResNet-18 with encoder-decoder structure is proposed to segment moving objects from complex scenes…”
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De-Trend First, Attend Next: A Mid-Term PV forecasting system with attention mechanism and encoder–decoder structure Autor Niu, Yunbo, Wang, Jianzhou, Zhang, Ziyuan, Luo, Tianrui, Liu, Jingjiang

“…Performing accurate predictions on photovoltaic power generation is a crucial factor in complementary power generation scheduling. How to resolve the problem…”
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Understanding encoder–decoder structures in machine learning using information measures Autor Silva, Jorge F., Faraggi, Victor, Ramirez, Camilo, Egaña, Alvaro, Pavez, Eduardo

“…–decoder latent predictive structure. This result formally justifies the encoder–decoder forward stages many modern ML architectures adopt to learn latent (compressed…”
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Solving Electromagnetic Inverse Scattering Problems in Inhomogeneous Media by Deep Convolutional Encoder-Decoder Structure Autor Zhang, Huan Huan, Yao, He Ming, Jiang, Lijun, Ng, Michael

“…), which comprise the deep convolutional encoder-decoder (DCED) structure. Its training data are collected based on the simple synthetic dataset…”
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CloudFU-Net: A Fine-Grained Segmentation Method for Ground-Based Cloud Images Based on an Improved Encoder-Decoder Structure Autor Shi, Chaojun, Su, Zibo, Zhang, Ke, Xie, Xiongbin, Zheng, Xian, Lu, Qiaochu, Yang, Jiyuan

“… In this article, a fine-grained segmentation method for ground-based cloud images is proposed, which is based on an improved encoder-decoder structure named CloudFU-Net…”
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Multi-task federated learning with encoder–decoder structure: enabling collaborative learning across different tasks Autor Zhou, Jingxuan, Bao, Weidong, Wang, Ji, Zhang, Dayu, Zhang, Xiongtao, Zhang, Yaohong

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DGCN-ED: dynamic graph convolutional networks with encoder-decoder structure and its application for airborne LiDAR point classification Autor Chen, Yang, Xing, Yin, Li, Xiao, Gao, Wei

“… as a representation to describe complex object relationships and an encoder-decoder architecture to capture the multi-scaled point features and describe objects in the high-level feature space…”
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Deep learning based source reconstruction method using asymmetric encoder–decoder​ structure and physics-induced loss Autor Ng, Michael, Yao, He Ming

“…). The proposed DL-based SRM employs the deep convolutional asymmetric encoder–decoder structure (DCAEDS), which only demands one-time single-frequency far-field measurement…”
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Rethinking the Encoder–decoder Structure in Medical Image Segmentation from Releasing Decoder Structure Autor Ni, Jiajia, Mu, Wei, Pan, An, Chen, Zhengming

“…–decoder based methods. In the encoder–decoder structure, the primary goal of the decoding phase is not only to restore feature map resolution, but also to mitigate the loss of feature information incurred during the encoding phase…”
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Encoder–Decoder Structure Fusing Depth Information for Outdoor Semantic Segmentation Autor Chen, Songnan, Tang, Mengxia, Dong, Ruifang, Kan, Jiangming

“…The semantic segmentation of outdoor images is the cornerstone of scene understanding and plays a crucial role in the autonomous navigation of robots. Although…”
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A classification method based on encoder‐decoder structure with paper content Autor Yin, Yi, Ouyang, Lin, Wu, Zhixiang, Yin, Shuifang

“… At present, there is a kind of paper classification method based on deep learning and implemented by the encoder‐decoder structure…”
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Online Mongolian Handwriting Recognition Based on Encoder–Decoder Structure with Language Model Autor Fan, Daoerji, Sun, Yuxin, Wang, Zhixin, Peng, Yanjun

“…Mongolian online handwriting recognition is a complex task due to the script’s intricate characters and extensive vocabulary. This study proposes a novel…”
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Automatic segmentation of prostate and organs at risk in CT images using an encoder–decoder structure based on residual neural network Autor Gutiérrez-Ramos, Silvia M., Altuve, Miguel

“…–decoder structure based on DeepLabv3+. The method automates the segmentation of the prostate, bladder, and rectum in male pelvic CT scans, achieving precise and efficient results without requiring preprocessing or extensive manual refinement…”
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Automatic Grammar Error Correction Model Based on Encoder-decoder Structure for English Texts Autor Wang, Jiahao, Huang, Guimin, Wang, Yabing

“… In this paper, we propose an automatic grammar error correction model based on encoder-decoder structure…”
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Ship Segmentation via Encoder-Decoder Network With Global Attention in High-Resolution SAR Images Autor Li, Jichao, Gou, Shuiping, Li, Ruimin, Chen, Jia-Wei, Sun, Xiaolong

“… The encoder-decoder structure with atrous convolution is developed as the network…”
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CGSANet: A Contour-Guided and Local Structure-Aware Encoder-Decoder Network for Accurate Building Extraction From Very High-Resolution Remote Sensing Imagery Autor Chen, Shanxiong, Shi, Wenzhong, Zhou, Mingting, Zhang, Min, Xuan, Zhaoxin

“… A contour-guided and local structure-aware encoder-decoder network (CGSANet) is proposed to extract buildings with more accurate boundaries…”
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An Intelligent Recognition Method for Low-Grade Fault Based on Attention Mechanism and Encoder–Decoder Network Structure Autor Zhang, Yujie, Wang, Dongdong, Ding, Renwei, Yang, Jing, Zhao, Lihong, Zhao, Shuo, Cai, Minghao, Han, Tianjiao

“…Low-grade faults play an important role in controlling oil and gas accumulations, but their fault throw is small and difficult to identify. Traditional…”
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A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images Autor Ullah, Ihsan, Ali, Farman, Shah, Babar, El-Sappagh, Shaker, Abuhmed, Tamer, Park, Sang Hyun

“…–decoder convolutional neural network (CNN). The first network in the dual encoder–decoder structure effectively utilizes a pre-trained VGG19 as an encoder for the segmentation task…”
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Pixel-Level Fatigue Crack Segmentation in Large-Scale Images of Steel Structures Using an Encoder–Decoder Network Autor Dong, Chuanzhi, Li, Liangding, Yan, Jin, Zhang, Zhiming, Pan, Hong, Catbas, Fikret Necati

“…Fatigue cracks are critical types of damage in steel structures due to repeated loads and distortion effects…”
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