Výsledky vyhľadávania - encoder decoder structure

SwinUnetSR: A Transformer-based Encoder-Decoder Structure with a Lightweight Upsampler for Face Super Resolution

Autori: Jiahao Song

Zdroj: Applied and Computational Engineering. 154:112-120

Multi-task federated learning with encoder–decoder structure: enabling collaborative learning across different tasks

Autori: Jingxuan Zhou Weidong Bao Ji Wang a ďalší

Zdroj: International Journal of Machine Learning and Cybernetics.

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2504.09800

Improving Cross-Subject Emotion Recognition Performance with an Encoder-Decoder Structure

Autori: Haowei, Cui Hanwen, Shi Bao-Liang, Lu a ďalší

Zdroj: 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). :1-4

Predmety: Emotions, Humans, Electroencephalography, Signal Processing, Computer-Assisted, Algorithms

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40039562

DRL-ED-TSPP: A Deep Reinforcement Learning Model With Encoder-Decoder for Solving the Traveling Salesman Problem With Profits

Autori: Bin Hu Liying Zhao

Zdroj: IEEE Access, Vol 13, Pp 111372-111391 (2025)

Predmety: TSPP, travel planning, deep learning, encoder-decoder structure, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Prístupová URL adresa: https://doaj.org/article/427a1d552ef84104b1dd29915747f528

Silkworm segmentation based on encoder-decoder structure

Autori: Huimin Zhuang Zicheng Liu Jianping Dong a ďalší

Zdroj: Smart Agricultural Technology, Vol 12, Iss , Pp 101274- (2025)

Predmety: Intelligent Silkworm Breeding, Deep Learning, Segmentation, U-Net, Agriculture (General), S1-972, Agricultural industries, HD9000-9495

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772375525005052; https://doaj.org/toc/2772-3755

Prístupová URL adresa: https://doaj.org/article/5a7fbcd8f5f243deab399c5d3ac49527

Rethinking the Encoder–decoder Structure in Medical Image Segmentation from Releasing Decoder Structure

Autori: Jiajia Ni Wei Mu An Pan a ďalší

Zdroj: Journal of Bionic Engineering. 21:1511-1521

Silkworm Segmentation Based on Encoder-Decoder Structure

Autori: Dequan Guo Huimin Zhuang Zicheng Liu a ďalší

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

Autori: Chaojun Shi Zibo Su Ke Zhang a ďalší

Zdroj: IEEE Transactions on Geoscience and Remote Sensing. 62:1-13

Weak-shot Semantic Segmentation Based on Encoder-Decoder Structure

Autori: Yi Zhang Yingxue Wang Yiwei Wei a ďalší

Zdroj: 2023 6th International Conference on Software Engineering and Computer Science (CSECS). :1-6

Establishment of machine translation model based on asymmetric Encoder-Decoder structure and its application in English grammar error detection

Autori: zhi yu

Advancing soil property prediction with encoder-decoder structures integrating traditional deep learning methods in Vis-NIR spectroscopy

Autori: Ziyi Ke Shilin Ren Liang Yin

Zdroj: Geoderma, Vol 449, Iss , Pp 117006- (2024)

Predmety: Deep learning, Encoder-Decoder, Feature wavelengths, LUCAS topsoil dataset, Soil properties, Science

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0016706124002350; https://doaj.org/toc/1872-6259

Prístupová URL adresa: https://doaj.org/article/ef113f22d9d845469bb985601169a970

An Encoder-Decoder Structure With Strong Resistance to Sensor Drift in Machine Olfaction

Autori: Renhao Shu Xu Li Qingji Wang

Zdroj: 2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI). :907-912

Bunet: An effective and efficient segmentation method based on bilateral encoder-decoder structure for rapid detection of apple tree branches

Autori: Shanshan Zhang Hao Wan Zeming Fan a ďalší

Zdroj: Applied Intelligence. 53:23336-23348

Encoder-Decoder Structure With the Feature Pyramid for Depth Estimation From a Single Image

Autori: Mengxia Tang Songnan Chen Ruifang Dong a ďalší

Zdroj: IEEE Access, Vol 9, Pp 22640-22650 (2021)

Predmety: Stereo Vision and Depth Estimation, Autofocusing in Microscopy and Photography, Artificial neural network, Artificial intelligence, Single Image Super-Resolution Techniques, Monocular Depth Estimation, Image Processing, Feature (linguistics), Pyramid (geometry), Geometry, 02 engineering and technology, Pattern recognition (psychology), Depth Estimation, 03 medical and health sciences, Engineering, Convolution (computer science), 0302 clinical medicine, Media Technology, Image (mathematics), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Depth map, single image, Upsampling, encoder-decoder, Linguistics, Computer science, TK1-9971, Encoder, FOS: Philosophy, ethics and religion, Depth prediction, Philosophy, Operating system, feature pyramid, Computer Science, Physical Sciences, FOS: Languages and literature, Computer vision, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, Mathematics

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09340320.pdf
https://doaj.org/article/1e8106baf5c946328a4fb1f0d3794bd4
https://ieeexplore.ieee.org/document/9340320/
https://doi.org/10.1109/ACCESS.2021.3055497
https://dblp.uni-trier.de/db/journals/access/access9.html#TangCRK21

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

Autori: Yang Chen Yin Xing Xiao Li a ďalší

Zdroj: International Journal of Remote Sensing. 44:3489-3506

Self-Attention (SA)-ConvLSTM Encoder–Decoder Structure-Based Video Prediction for Dynamic Motion Estimation

Autori: Jeongdae Kim Hyunseung Choo Jongpil Jeong

Zdroj: Applied Sciences, Vol 14, Iss 23, p 11315 (2024)

Predmety: Technology, video prediction, QH301-705.5, Physics, QC1-999, SA-ConvLSTM, 02 engineering and technology, Engineering (General). Civil engineering (General), 01 natural sciences, encoder–decoder, self-attention memory module, Chemistry, 0202 electrical engineering, electronic engineering, information engineering, TA1-2040, Biology (General), QD1-999, spatiotemporal, 0105 earth and related environmental sciences

Prístupová URL adresa: https://doaj.org/article/c12289f199ed4826a442d168b4203b74

DeepLab-Rail: semantic segmentation network for railway scenes based on encoder-decoder structure

Autori: Qingsong Zeng Linxuan Zhang Yuan Wang a ďalší

Zdroj: Journal of Electronic Imaging. 33

Solving Electromagnetic Inverse Scattering Problems in Inhomogeneous Media by Deep Convolutional Encoder–Decoder Structure

Autori: Huan Huan Zhang He Ming Yao Lijun Jiang a ďalší

Zdroj: IEEE Transactions on Antennas and Propagation. 71:2867-2872

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

DeepUTF: Locating transcription factor binding sites via interpretable dual-channel encoder-decoder structure

Autori: Pengju Ding Jianxin Wang Shiyue He a ďalší

Zdroj: Pattern Recognition. 161:111279

Deep Encoder-Decoder Structure for Cloud Image Segmentation

Autori: Jian Li Ying Liu Xin Li a ďalší

Zdroj: Lecture Notes in Electrical Engineering ISBN: 9789819975556