Výsledky vyhľadávania - "Encoder and Decoder Network"

HED-Net: Hybrid Encoder and Decoder Network for Medical Image Segmentation

Autori: Junran Liang Wenjie Luo

Zdroj: Lecture Notes in Computer Science ISBN: 9789819500321

An Encoder-Sequencer-Decoder Network for Lane Detection to Facilitate Autonomous Driving

Autori: Muhammad Ishfaq Hussain Muhammad Aasim Rafique Yeongmin Ko a ďalší

Zdroj: 2023 23rd International Conference on Control, Automation and Systems (ICCAS). :899-904

EGDSR: Encoder-Generator-Decoder Network for Remote Sensing Super-Resolution Reconstruction

Autori: Baikai Sui Yungang Cao Shuang Zhang

Zdroj: IEEE Geoscience and Remote Sensing Letters. 20:1-5

EAD-Conformer: a Conformer-Based Encoder-Attention-Decoder-Network for Multi-Task Audio Source Separation

Autori: Chenxing Li Yang Wang Feng Deng a ďalší

Zdroj: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :521-525

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

A combined encoder–transformer–decoder network for volumetric segmentation of adrenal tumors

Autori: Liping Wang Mingtao Ye Yanjie Lu a ďalší

Zdroj: BioMedical Engineering OnLine, Vol 22, Iss 1, Pp 1-14 (2023)

Predmety: Adrenal tumor volumetric segmentation, Adrenal metastases, Transformer, Computer-aided diagnostic tool, Medical technology, R855-855.5

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1475-925X

Prístupová URL adresa: https://doaj.org/article/518bce1ad20b4af49d893e0e010c4c60

Multi-Encoder Parse-Decoder Network for Sequential Medical Image Segmentation

Autori: Ruiyang Liu Dachuan Shi Zuoxiang He a ďalší

Zdroj: 2021 IEEE International Conference on Image Processing (ICIP). :31-35

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

Prístupová URL adresa: http://xplorestaging.ieee.org/ielx7/9506008/9506009/09506463.pdf?arnumber=9506463

Two-stage encoder multi-decoder network with global–local up-sampling for defect segmentation of strip steel surface defects

Autori: Mingxian Xu Jingliang Wei Xinglong Feng

Zdroj: Engineering Applications of Artificial Intelligence. 138:109469

Encoder-Recurrent Decoder Network for Single Image Dehazing

Autori: An Dang Jia-Ching Wang Toan H. Vu

Zdroj: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :4432-4436

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

Prístupová URL adresa: https://sigport.org/documents/encoder-recurrent-decoder-network-single-image-dehazing
https://scholars.ncu.edu.tw/zh/publications/encoder-recurrent-decoder-network-for-single-image-dehazing
https://dblp.uni-trier.de/db/conf/icassp/icassp2020.html#DangVW20
https://ieeexplore.ieee.org/abstract/document/9052993

Investigation of in Vivo Human Cardiac Diffusion Tensor Imaging Using Unsupervised Dense Encoder-Fusion-Decoder Network

Autori: Zeyu Deng Lihui Wang Qiang Wu a ďalší

Prispievatelia: Zeyu Deng Lihui Wang Qiang Wu a ďalší

Zdroj: IEEE Access, Vol 8, Pp 220140-220151 (2020)

Predmety: motion compensation, 03 medical and health sciences, 0302 clinical medicine, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, deep learning, feature fusion, in vivo cardiac Imaging, Electrical engineering. Electronics. Nuclear engineering, Magnetic resonance diffusion tensor imaging, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09268949.pdf
https://doaj.org/article/846159dd78eb43bba2d05bf1505e02cc
https://hal.science/hal-03705493v1
https://doi.org/10.1109/access.2020.3040330

Diverter transformer-based multi-encoder-multi-decoder network model for medical retinal blood vessel image segmentation

Autori: Chengwei Wu Min Guo Miao Ma a ďalší

Zdroj: Biomedical Signal Processing and Control. 93:106132

Sclera-Net: Accurate Sclera Segmentation in Various Sensor Images Based on Residual Encoder and Decoder Network

Autori: Rizwan Ali Naqvi Woong-Kee Loh

Zdroj: IEEE Access, Vol 7, Pp 98208-98227 (2019)

Predmety: sclera segmentation, encoder-decoder network, Sclera recognition, 0202 electrical engineering, electronic engineering, information engineering, convolutional neural network, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, semantic segmentation, residual connections, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08769968.pdf
https://doaj.org/article/d81b5587f36843d493d744755c52b1cc
https://ieeexplore.ieee.org/abstract/document/8769968/authors
https://dblp.uni-trier.de/db/journals/access/access7.html#NaqviL19

Transforming Auto-Encoder and Decoder Network for Pediatric Bone Image Segmentation using a State-of-the-art Semantic Segmentation network on Bone Radiographs

Autori: M Premalatha Smarita Sharma Reuben Varghese

Zdroj: 2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). :251-256

Predmety: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8549935
http://xplorestaging.ieee.org/ielx7/8533558/8549919/08549935.pdf?arnumber=8549935

Encoder and decoder network with ResNet-50 and global average feature pooling for local change detection

Autori: Manoj Kumar Panda Akhilesh Sharma Vatsalya Bajpai a ďalší

Zdroj: Computer Vision and Image Understanding. 222:103501

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Automatic Extraction of Water and Shadow from SAR Images Based on a Multi-Resolution Dense Encoder and Decoder Network

Autori: Peng Zhang Lifu Chen Zhenhong Li a ďalší

Zdroj: Sensors, Vol 19, Iss 16, p 3576 (2019)

Predmety: water extraction, shadow extraction, deep learning, synthetic aperture radar (SAR), classification, convolutional neural network (CNN), global convolutional network (GCN), dense convolutional network (DenseNet), CONVOLUTION LONG SHORT-TERM MEMORY (ConvLSTM), Chemical technology, TP1-1185

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/19/16/3576; https://doaj.org/toc/1424-8220

Prístupová URL adresa: https://doaj.org/article/93f0d2e2e5fa4402a7927f0caa3864d7

Diverter transformer-based multi-encoder-multi-decoder network model for medical retinal blood vessel image segmentation.

Autori: Wu, Chengwei Guo, Min Ma, Miao a ďalší

Zdroj: Biomedical Signal Processing & Control. Jul2024, Vol. 93, pN.PAG-N.PAG. 1p.

Predmety: Retinal blood vessels, Transformer models, Image segmentation, Vector data, Network performance

Automatic Extraction of Water and Shadow from SAR Images Based on a Multi-Resolution Dense Encoder and Decoder Network

Autori: Zhang P Chen L Li Z a ďalší

Zdroj: Sensors , 16 August 2019

Popis súboru: application/pdf

Relation: https://eprints.ncl.ac.uk/260129; https://eprints.ncl.ac.uk/fulltext.aspx?url=260129/DFA61E69-57CC-4227-8AD1-3246FF7A1E7E.pdf&pub_id=260129

Dostupnosť: https://eprints.ncl.ac.uk/260129

Non-Rigid Structure-from-Motion via Differential Geometry with Recoverable Conformal Scale

Autori: Chen, Yongbo Zhang, Yanhao Parashar, Shaifali a ďalší

Prispievatelia: Chen, Yongbo Zhang, Yanhao Parashar, Shaifali a ďalší

Zdroj: ISSN: 1552-3098.

Predmety: encoder and decoder network. I, parallel separable iterative optimization, conformal deformations, NRSfM, Deformable SLAM, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2510.01665; ARXIV: 2510.01665

Dostupnosť: https://hal.science/hal-05295600
https://hal.science/hal-05295600v1/document
https://hal.science/hal-05295600v1/file/2510.01665v1.pdf
https://doi.org/10.1109/TRO.2025.3621422

ED-Dehaze Net: Encoder and Decoder Dehaze Network

Autori: Zhang, Hongqi Wei, Yixiong Zhou, Hongqiao a ďalší

Zdroj: Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
Universidad Internacional de La Rioja (UNIR)
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International Journal of Interactive Multimedia and Artificial Intelligence, Vol 7, Iss 5, Pp 93-99 (2022)

Predmety: Technology, image dehazing, encoder and decoder network, generative adversarial network, 0202 electrical engineering, electronic engineering, information engineering, IJIMAI, multi-scale convolution block, 02 engineering and technology, generative adversarial etwork, 01 natural sciences, loss function, 0104 chemical sciences

Prístupová URL adresa: https://reunir.unir.net/handle/123456789/13712
https://doi.org/10.9781/ijimai.2022.08.008
https://doaj.org/article/53b711c170f14f7fb349d0e399884919
https://reunir.unir.net/handle/123456789/13712

A combined encoder–transformer–decoder network for volumetric segmentation of adrenal tumors.

Autori: Wang, Liping Ye, Mingtao Lu, Yanjie a ďalší

Zdroj: BioMedical Engineering OnLine; 11/8/2023, Vol. 22 Issue 1, p1-14, 14p

Predmety: ADRENAL tumors, TRANSFORMER models, IMAGE segmentation, COMPUTED tomography, ADRENAL glands

EGDSR: Encoder-Generator-Decoder Network for Remote Sensing Super-Resolution Reconstruction.

Autori: Sui, Baikai Cao, Yungang Zhang, Shuang

Zdroj: IEEE Geoscience & Remote Sensing Letters; 2023, Vol. 20, p1-5, 5p