Search Results - Cascade Encoder-Decoder*

Image-Based Flood Disaster Detection in Solar Greenhouses Using a Residual Multiscale Cascade Encoder–Decoder Network (RMCED)​

Authors: Juntao Zhao Tiangang Lu Xinyue Lv et al.

SPEDCCNN: Spatial Pyramid-Oriented Encoder-Decoder Cascade Convolution Neural Network for Crop Disease Leaf Segmentation

Authors: Yuxia Yuan Zengyong Xu Gang Lu

Source: IEEE Access, Vol 9, Pp 14849-14866 (2021)

Subject Terms: spatial pyramid, 2. Zero hunger, Crop disease leaf segmentation, pooling strategy, 0202 electrical engineering, electronic engineering, information engineering, encoder-decoder cascade convolution neural network, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09328499.pdf
https://doaj.org/article/92c7a9a5000246f394b77e9c4a1fa7f5
https://ieeexplore.ieee.org/document/9328499/
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=202102278151214330
https://dblp.uni-trier.de/db/journals/access/access9.html#YuanXL21
https://doi.org/10.1109/ACCESS.2021.3052769

Cascade learning in multi-task encoder–decoder networks for concurrent bone segmentation and glenohumeral joint clinical assessment in shoulder CT scans

Authors: Luca Marsilio Davide Marzorati Matteo Rossi et al.

Source: Artificial Intelligence in Medicine. 165:103131

Subject Terms: Male, Scapula, Deep Learning, Imaging, Three-Dimensional, Shoulder Joint, Osteoarthritis, Humans, Female, Neural Networks, Computer, Tomography, X-Ray Computed, Retrospective Studies

Access URL: https://pubmed.ncbi.nlm.nih.gov/40279875

A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection

Authors: Noppadol Maneerat Athasart Narkthewan Kazuhiko Hamamoto

Source: Applied Sciences, Vol 15, Iss 13, p 7300 (2025)

Subject Terms: Technology, Bayesian Optimization, QH301-705.5, Physics, QC1-999, Engineering (General). Civil engineering (General), chest radiographs, atrous convolution, Chemistry, tuberculosis detection, DeepLabv3+, TA1-2040, Biology (General), deep convolutional neural networks, QD1-999

Access URL: https://doaj.org/article/6193c9b2392e4794bc4596afaddeb06e

Deep Cascade Residual Networks (DCRNs): Optimizing an Encoder–Decoder Convolutional Neural Network for Low-Dose CT Imaging

Authors: Zhenxing Huang Zixiang Chen Guotao Quan et al.

Source: IEEE Transactions on Radiation and Plasma Medical Sciences. 6:829-840

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

Cascade learning in multi-task encoder-decoder networks for concurrent bone segmentation and glenohumeral joint assessment in shoulder CT scans

Authors: Marsilio, Luca Marzorati, Davide Rossi, Matteo et al.

Subject Terms: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing

Access URL: http://arxiv.org/abs/2410.12641

Cascade drive: a unified deep learning framework for multi-featured detection and control in autonomous electric vehicles on unstructured roadways

Authors: Kushal Kumar Raju B. Prahal Bhagavath M. K. Nallakaruppan et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-23 (2025)

Subject Terms: DeepLab, Autonomous electric vehicle, YOLOv7, UNet-encoder–decoder, VGG19, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/917bc2d9d2f3439a9aca566d67c55051

CEDNet: A Cascade Encoder-Decoder Network for Dense Prediction

Authors: Zhang, Gang Li, Ziyi Tang, Chufeng et al.

Index Terms: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2302.06052

Cascade of encoder-decoder CNNs with learned coordinates regressor for robust facial landmarks detection

Authors: Valle Fernández, Roberto Buenaposada Biencinto, José Miguel Baumela Molina, Luis

Source: Pattern Recognition Letters, ISSN 0167-8655, 2019-10-15, Vol. 136
Archivo Digital UPM
instname

Subject Terms: Informática, 03 medical and health sciences, 0302 clinical medicine, Cascaded shape regression, 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, 02 engineering and technology, Heatmap regression, Facial landmark detection, Face alignment

File Description: application/pdf

Access URL: https://oa.upm.es/76992/
https://dblp.uni-trier.de/db/journals/prl/prl136.html#ValleBB20
https://www.sciencedirect.com/science/article/pii/S0167865519302910
https://doi.org/10.1016/j.patrec.2019.10.012
http://ui.adsabs.harvard.edu/abs/2020PaReL.136..326V/abstract

CEDNet: A cascade encoder–decoder network for dense prediction

Authors: Gang Zhang Ziyi Li Chufeng Tang et al.

Source: Pattern Recognition. 158:111072

Subject Terms: FOS: Computer and information sciences, 03 medical and health sciences, 0302 clinical medicine, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://arxiv.org/abs/2302.06052

A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection.

Authors: Maneerat, Noppadol Narkthewan, Athasart Hamamoto, Kazuhiko

Source: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7300, 21p

Subject Terms: TUBERCULOSIS, DEEP learning, ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, ENSEMBLE learning, COMPUTER-assisted image analysis (Medicine), CHEST X rays

Geographic Terms: MONTGOMERY County (Md.)

Cascade of Encoder-Decoder CNNs with Learned Coordinates Regressor for Robust Facial Landmarks Detection

Authors: Valle Fernández, Roberto Buenaposada Biencinto, José Miguel Baumela Molina, Luis

Source: Pattern Recognition Letters, ISSN 0167-8655, 2019-10-15, Vol. 136

Index Terms: Informática, info:eu-repo/semantics/article, info:eu-repo/semantics/acceptedVersion

URL: https://oa.upm.es/76992/
https://www.sciencedirect.com/science/article/pii/S0167865519302910
https://www.sciencedirect.com/science/article/pii/S0167865519302910
info:eu-repo/grantAgreement/MINECO//TIN2016-75982-C2-2-R
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.patrec.2019.10.012

TV-CCANM: a transformer variational inference in confounding cascade additive noise model for causal effect estimation.

Authors: Ahmad, Sohail Wang, Hong

Source: Journal of Statistical Computation & Simulation. Sep2025, Vol. 95 Issue 14, p3048-3076. 29p.

Subject Terms: *CAUSAL inference, *CAUSAL models

I Know What I Don't Know: Improving Model Cascades Through Confidence Tuning

Authors: Rabanser, Stephan Rauschmayr, Nathalie Kulshrestha, Achin et al.

Index Terms: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2502.19335

Recognizing and localizing chicken behaviors in videos based on spatiotemporal feature learning.

Authors: Hu, Yilei Xu, Jinyang Gou, Zhichao et al.

Source: Artificial Intelligence in Agriculture; Dec2025, Vol. 15 Issue 4, p816-828, 13p

Subject Terms: RECOGNITION (Psychology), CHICKENS, CASCADE connections, POULTRY farms, COMPUTER vision

Pressure Prediction of Cascade System Based on Transformer Model

Authors: LI Hao, YAN Hao, WANG Zetao, CHE Jun

Source: Yuanzineng kexue jishu, Vol 59, Iss S2, Pp 418-425 (2025)

Subject Terms: centrifugal cascade system, pressure prediction, transformer model, sparse self-attention mechanism, autoregressive decoding, Nuclear engineering. Atomic power, TK9001-9401, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798

File Description: electronic resource

Relation: https://doaj.org/toc/1000-6931

Access URL: https://doaj.org/article/0b13b6e96f794332b37eca318c2b86f1

HD-CAE: hybrid encoding and deformable decoding autoencoder with cascade attention for visual anomaly detection.

Authors: Chouhan, Santosh Prakash Bhattacharya, Mahua Sharma, Gopal Krishna

Source: Signal, Image & Video Processing; Jul2025, Vol. 19 Issue 7, p1-16, 16p

Research Data from King Mongkut's Institute of Technology Ladkrabang Update Understanding of Tuberculosis (A Cascade of Encoder-Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection).

Source: TB & Outbreaks Week. 8/1/2025, p165-165. 1p.

CasDacGCN: A Dynamic Attention-Calibrated Graph Convolutional Network for Information Popularity Prediction.

Authors: Zhang, Bofeng Zhu, Yanlin Zhang, Zhirong et al.

Source: Entropy; Oct2025, Vol. 27 Issue 10, p1064, 18p

Subject Terms: SOCIAL network analysis, GRAPH neural networks, INFORMATION dissemination, CASCADES (Fluid dynamics)

Enhancing hyperkinetic dysarthria speech recognition through deep cascade convolution and integrated attention mechanism.

Authors: Mahamudul Hashan, Antor

Source: International Journal of Speech Technology; Sep2025, Vol. 28 Issue 3, p699-707, 9p

Subject Terms: DYSARTHRIA, DEEP learning, TRANSCRIPTION (Linguistics), ERROR rates, SPEECH perception, MACHINE learning, HEALTH care industry

Company/Entity: DCC PLC