Suchergebnisse - Encoder-decoder structure*

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

“… –decoder structure using self-attention ConvLSTM (SA-ConvLSTM), which retains …”
Volltext

De-Trend First, Attend Next: A Mid-Term PV forecasting system with attention mechanism and encoder–decoder structure von 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 …”
Volltext

Moving Object Detection Method via ResNet-18 With Encoder-Decoder Structure in Complex Scenes von 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 …”
Volltext

Understanding encoder–decoder structures in machine learning using information measures von 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 …”
Volltext

Solving Electromagnetic Inverse Scattering Problems in Inhomogeneous Media by Deep Convolutional Encoder-Decoder Structure von 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 …”
Volltext

CloudFU-Net: A Fine-Grained Segmentation Method for Ground-Based Cloud Images Based on an Improved Encoder-Decoder Structure von 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 …”
Volltext

Multi-task federated learning with encoder–decoder structure: enabling collaborative learning across different tasks von Zhou, Jingxuan, Bao, Weidong, Wang, Ji, Zhang, Dayu, Zhang, Xiongtao, Zhang, Yaohong

Volltext

Deep learning based source reconstruction method using asymmetric encoder–decoder​ structure and physics-induced loss von 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 …”
Volltext

DGCN-ED: dynamic graph convolutional networks with encoder-decoder structure and its application for airborne LiDAR point classification von 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 …”
Volltext

Rethinking the Encoder–decoder Structure in Medical Image Segmentation from Releasing Decoder Structure von 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 …”
Volltext

Encoder–Decoder Structure Fusing Depth Information for Outdoor Semantic Segmentation von 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 …”
Volltext

A classification method based on encoder‐decoder structure with paper content von 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 …”
Volltext

Automatic segmentation of prostate and organs at risk in CT images using an encoder–decoder structure based on residual neural network von 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 …”
Volltext

Online Mongolian Handwriting Recognition Based on Encoder–Decoder Structure with Language Model von 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 …”
Volltext

Automatic Grammar Error Correction Model Based on Encoder-decoder Structure for English Texts von Wang, Jiahao, Huang, Guimin, Wang, Yabing

“… In this paper, we propose an automatic grammar error correction model based on encoder-decoder structure …”
Volltext

CGSANet: A Contour-Guided and Local Structure-Aware Encoder-Decoder Network for Accurate Building Extraction From Very High-Resolution Remote Sensing Imagery von 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 …”
Volltext

Rethinking Transformers for Semantic Segmentation of Remote Sensing Images von Liu, Yuheng, Zhang, Yifan, Wang, Ye, Mei, Shaohui

“… Transformer has been widely applied in image processing tasks as a substitute for convolutional neural networks (CNNs) for feature extraction due to its …”
Volltext

Ship Segmentation via Encoder-Decoder Network With Global Attention in High-Resolution SAR Images von Li, Jichao, Gou, Shuiping, Li, Ruimin, Chen, Jia-Wei, Sun, Xiaolong

“… The encoder-decoder structure with atrous convolution is developed as the network …”
Volltext

An Intelligent Recognition Method for Low-Grade Fault Based on Attention Mechanism and Encoder–Decoder Network Structure von 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 …”
Volltext

ECG_SegNet: An ECG delineation model based on the encoder-decoder structure von Liang, Xiaohong, Li, Liping, Liu, Yuanyuan, Chen, Dan, Wang, Xinpei, Hu, Shunbo, Wang, Jikuo, Zhang, Huan, Sun, Chengfa, Liu, Changchun

“… The main objective of this study is to design a delineation model based on the encoder-decoder structure to detect different heartbeat waveforms, including P-waves, QRS complexes, T-waves, and No waves (NW …”
Volltext