Výsledky vyhledávání - "Encoder–decoder models"

Oil Spill Segmentation Using Deep Encoder-Decoder Models

Autoři: Ramanathapura Satyanarayana, Abhishek Dhali, Maruf A.

Zdroj: Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods. :741-748

Témata: FOS: Computer and information sciences, Deep Learning, Artificial Intelligence (cs.AI), Neural Networks, Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), SEGMENTATION, Computer Science - Computer Vision and Pattern Recognition, Semantic Segmentation, Deep learning, Oil Spill

Přístupová URL adresa: http://arxiv.org/abs/2305.01386
https://research.rug.nl/en/publications/da35a2ea-40f5-41a7-a4f4-f805779f5310
https://hdl.handle.net/11370/da35a2ea-40f5-41a7-a4f4-f805779f5310
https://doi.org/10.5220/0013259600003905

RadQA-DPO: A Radiology Question Answering System with Encoder-Decoder Models Enhanced by Direct Preference Optimization

Autoři: Md Sultan Al Nahian Ramakanth Kavuluru

Zdroj: Proceedings of the 24th Workshop on Biomedical Language Processing. :101-113

Multiclass Image Segmentation using Deep Residual Encoder-Decoder Models in Highly Turbid Underwater Ambiances

Autoři: T. P. Mithun Haridas Suraj Kamal Arun A. Balakrishnan a další

Zdroj: International Journal of Mathematical, Engineering and Management Sciences, Vol 9, Iss 6, Pp 1510-1530 (2024)

Témata: 0301 basic medicine, Technology, 03 medical and health sciences, underwater image, underwater noise, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, fish4knowledge, multi-class image segmentation, Mathematics, encoder-decoder model

Přístupová URL adresa: https://doaj.org/article/fab15de612464c92875187394fcf2c3e
https://doi.org/10.33889/IJMEMS.2024.9.6.080

Efficient compression of encoder-decoder models for semantic segmentation using the separation index

Autoři: Movahed Jamshidi Ahmad Kalhor Abdol-Hossein Vahabie

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-19 (2025)

Témata: Model compression, Encoder-Decoder architectures, Semantic segmentation, Separation index, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/e15c8de045f241838ea9385af1702c00

Navigating the Future: A Novel PCA-Driven Layered Attention Approach for Vessel Trajectory Prediction with Encoder–Decoder Models

Autoři: Fusun Er Yıldıray Yalman

Zdroj: Applied Sciences, Vol 15, Iss 16, p 8953 (2025)

Témata: layered attention mechanism, encoder–decoder models, vessel trajectory prediction, maritime safety, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/16/8953; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/086d87501d6848e79ae974a9b3e5d9a4

A Comparative Evaluation of Transformer-Based Vision Encoder-Decoder Models for Brazilian Portuguese Image Captioning

Autoři: Gabriel Bromonschenkel Hilário Oliveira Thiago M. Paixão

Zdroj: 2024 37th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). 7:1-6

Weed detection in precision agriculture: leveraging encoder-decoder models for semantic segmentation

Autoři: Shreya Thiagarajan A. Vijayalakshmi G. Hannah Grace

Zdroj: Journal of Ambient Intelligence and Humanized Computing. 15:3547-3561

Comparative Study on the Working of Pre-trained Encoder-Decoder Models and Large Autoregressive Language Models for Abstractive Text Summarization

Autoři: Niranjana Sowpari Poonam Bansal

Zdroj: Lecture Notes in Electrical Engineering ISBN: 9789819790449

LiT and Lean: Distilling Listwise Rerankers Into Encoder-Decoder Models

Autoři: Manveer Singh Tamber Ronak Pradeep Jimmy Lin

Zdroj: Lecture Notes in Computer Science ISBN: 9783031887130

STable: Table Generation Framework for Encoder-Decoder Models

Autoři: Pietruszka, Michał Turski, Michał Borchmann, Łukasz a další

Zdroj: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). :2454-2472

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Computation and Language (cs.CL), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2206.04045
https://aclanthology.org/2024.eacl-long.151.pdf
https://ruj.uj.edu.pl/handle/item/450086

Jewelry Recognition via Encoder-Decoder Models

Autoři: Alcalde-Llergo, José M. Yeguas-Bolívar, Enrique Zingoni, Andrea a další

Zdroj: Alcalde-Llergo, J. M., Yeguas-Bolívar, E., Zingoni A. & Fuerte-Jurado, A. (2023). Jewelry Recognition via Encoder-Decoder Models. 2023 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). Milano, Italy
Helvia. Repositorio Institucional de la Universidad de Córdoba
Universidad de Córdoba

Témata: FOS: Computer and information sciences, Deep Learning, Artificial Intelligence (cs.AI), Jewelry, Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Object Detection, Computer Science - Computer Vision and Pattern Recognition, Image Captioning, Human Behavior, Classification

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2401.08003
http://hdl.handle.net/10396/26466
https://hdl.handle.net/10396/26466

ThangDLU at #SMM4H 2024: Encoder-decoder models for classifying text data on social disorders in children and adolescents

Autoři: Ta, Hoang-Thang Rahman, Abu Bakar Siddiqur Najjar, Lotfollah a další

Zdroj: Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks. :1-4

Témata: FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL), 3. Good health

Přístupová URL adresa: http://arxiv.org/abs/2404.19714

Encoder-decoder models in sequence-to-sequence learning: A survey of RNN and LSTM approaches

Autoři: Yunong Zhang

Zdroj: Applied and Computational Engineering. 22:218-226

Traumatic Brain Injury Segmentation using an Ensemble of Encoder-decoder Models

Autoři: Dhamat, Ghanshyam Sundaresan, Vaanathi

Témata: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Vision and Pattern Recognition

Přístupová URL adresa: http://arxiv.org/abs/2509.24684

Semantic segmentation of agricultural aerial images using encoder-decoder models

Autoři: Rajagopal Rekha M. Indhuja S.K. Nivetha a další

Zdroj: International Journal of Computational Vision and Robotics. 15

Proper Error Estimation and Calibration for Attention-Based Encoder-Decoder Models

Autoři: Mun-Hak Lee Joon-Hyuk Chang

Zdroj: IEEE/ACM Transactions on Audio, Speech, and Language Processing. 32:4919-4930

Abbreviation Disambiguation in Polish Press News Using Encoder-Decoder Models

Autoři: Wróbel, Krzysztof Karbowski, Jakub Lewkowicz, Paweł

Zdroj: Annals of computer science and information systems, Vol 35, Pp 1255-1264 (2023)

Témata: Electronic computers. Computer science, Information technology, QA75.5-76.95, T58.5-58.64

Přístupová URL adresa: https://doaj.org/article/8517ee02db964bd5ba2d68ece30840d0
https://annals-csis.org/Volume_35/drp/pdf/839.pdf
https://ruj.uj.edu.pl/xmlui/handle/item/326501

Vision Encoder-Decoder Models for AI Coaching

Autoři: Nayak, Jyothi S Khan, Afifah Khan Mohammed Ajmal Manjeshwar, Chirag a další

Zdroj: 2023 IEEE Engineering Informatics. :1-6

Témata: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, I.2.1

Přístupová URL adresa: http://arxiv.org/abs/2311.16161

Dynamic energy system modeling using hybrid physics-based and machine learning encoder–decoder models

Autoři: Machalek, Derek Tuttle, Jacob F. Andersson, Klas a další

Zdroj: Energy and AI. 9

Témata: Thermal power plant, Encoder–decoder, Hybrid model, Time series, Automatic differentiation

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/531379
https://research.chalmers.se/publication/531379/file/531379_Fulltext.pdf

Efficient Compression of Encoder-Decoder Models for Semantic Segmentation Using the Separation Index

Autoři: Jamshidi, Movahed Kalhor, Ahmad Vahabie, Abdol-Hossein

Zdroj: Sci Rep

Témata: Article