Výsledky vyhledávání - Encoder-Decoder Transformer Model*

Road Extraction from Remote Sensing Images Using a Skip-Connected Parallel CNN-Transformer Encoder-Decoder Model

Autoři: Vuyyuru Dharani Sri

Zdroj: INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-9

A Study on Modeling Roman Numeral Analysis Progressions Using the Encoder-Decoder Transformer

Autoři: Aaron Tucker Maxwell M. Omwenga

Zdroj: 2025 IEEE International Conference on Electro Information Technology (eIT). :518-523

Image Captioning Using Vision Transformer Encoder Decoder Model

Autoři: null Kareemunissa Prakash Ramachandran

Zdroj: 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE). :1-6

Transformer Encoder–Decoder Framework for Nonlinear Pulse Evolution and Inverse Modeling

Autoři: Dinesh Kumar Murugan Rajkumar Joseph Nithyanandan Kanagaraj

Zdroj: Advanced Photonics Research, Vol 6, Iss 11, Pp n/a-n/a (2025)

Témata: deep learning, encoder–decoder architecture, nonlinear pulse evolution, optical fibers, supercontinuum generation, transformer neural networks, Applied optics. Photonics, TA1501-1820, Optics. Light, QC350-467

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2699-9293

Přístupová URL adresa: https://doaj.org/article/22b4cb514d8b494b809885762237bae3

Pre-Trained Encoder Decoder Transformer Model for Language Processing

Autoři: Farhan Akthar K Deepaksakthi V K Tamizhselvi A

Zdroj: 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI). :525-532

Attention-Guided Facial Emotion Recognition with Swin Transformer Encoder Decoder Model

Autoři: R Jeen Retna Kumar M B Anushlin Leena S Saumiya a další

Zdroj: 2024 International Conference on Advancement in Renewable Energy and Intelligent Systems (AREIS). :1-6

Arabic News Classification and Generation Based on an Encoder-Decoder Transformer Model (ArabicT5)

Autoři: Hezam Gawbah Nashwan Al-Majmar Akram Alsubari a další

Zdroj: 2024 1st International Conference on Emerging Technologies for Dependable Internet of Things (ICETI). :1-6

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

Single Block Encoder-Decoder Transformer Model for Multi-Step Traffic Flow Forecasting

Autoři: Mas Omar Fitri Yakub Mohamad Sofian Abu Talip a další

Zdroj: 2024 IEEE 6th Symposium on Computers & Informatics (ISCI). :299-304

Vision Intelligence Assisted Lung Function Estimation Based on Transformer Encoder–Decoder Network With Invertible Modeling

Autoři: Liuyin Chen Di Lu Jianxue Zhai a další

Zdroj: IEEE Transactions on Artificial Intelligence. 5:3336-3349

CT-γ-Net: A Hybrid Model Based on Convolutional Encoder–Decoder and Transformer Encoder for Brain Tumor Localization

Autoři: Punam Bedi Ningyao Ningshen Surbhi Rani a další

Zdroj: Journal of Data Science and Intelligent Systems. 3:35-49

ANUVAAD ARJUNA: A HYBRID AI PLATFORM FOR REAL-TIME ENGLISH-TO-HINDI TRANSLATION WITH A FINE-TUNED TRANSFORMER AND AN LSTM ENCODER-DECODER MODEL

Autoři: Paramasivan, Muthukumar

Temporal Convolutional and Fusional Transformer Model With Bi-LSTM Encoder-Decoder for Multi-Time-Window Remaining Useful Life Prediction

Autoři: Mohamadreza Akbari Pour Mohamad Sadeq Karimi Amir Hossein Mazloumi

Zdroj: IEEE Access, Vol 13, Pp 203705-203722 (2025)

Témata: Long short term memory, multi time window, remaining useful life prediction, temporal convolutional networks, temporal fusion transformers, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11251223/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/ec2501b9cbd64d36b798ddd47bd575c2

Arabic Image Captioning Using Transformer-Based Encoder-Decoder Model

Autoři: Yasser Alhabashi Lahouari Ghouti Serry Sibaee a další

Zdroj: Lecture Notes in Networks and Systems ISBN: 9783031912344

DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models

Autoři: Tang, Peng Zhu, Pengkai Li, Tian a další

Zdroj: Findings of the Association for Computational Linguistics: NAACL 2024. :116-131

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computation and Language (cs.CL), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2311.08623

Fretting-Transformer: Encoder-Decoder Model for MIDI to Tablature Transcription

Autoři: Hamberger, Anna Murgul, Sebastian Schmidt, Jochen a další

Témata: FOS: Computer and information sciences, Sound (cs.SD), Sound, Multimedia, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computation and Language, Computation and Language (cs.CL), Audio and Speech Processing, Multimedia (cs.MM)

Přístupová URL adresa: http://arxiv.org/abs/2506.14223

DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers: Layerwise Interpretation of Encoder-Decoder Transformers

Autoři: Langedijk, Anna Mohebbi, Hosein Sarti, Gabriele a další

Zdroj: Findings of the Association for Computational Linguistics: NAACL 2024. :4764-4780

Témata: FOS: Computer and information sciences, Computer Science - Computation and Language, language models, automatic speech recognition, encoder decoder, natural language processing, interpretability, propositional logic, Computation and Language (cs.CL), transformer architecture, explainable ai, machine translation

Přístupová URL adresa: http://arxiv.org/abs/2310.03686
https://dare.uva.nl/personal/pure/en/publications/decoderlens-layerwise-interpretation-of-encoderdecoder-transformers(58356871-cefe-49ab-b090-5fd18486850f).html
https://doi.org/10.18653/v1/2024.findings-naacl.296
https://hdl.handle.net/11245.1/58356871-cefe-49ab-b090-5fd18486850f
https://research.tilburguniversity.edu/en/publications/a1ab7cda-d703-42be-bbd0-8b44bae457aa
https://doi.org/10.18653/v1/2024.findings-naacl.296
https://research.rug.nl/en/publications/9a8cfd0d-d9ca-4d33-ae09-c6d6e40bb02b
https://hdl.handle.net/11370/9a8cfd0d-d9ca-4d33-ae09-c6d6e40bb02b
https://doi.org/10.48550/arXiv.2310.03686
https://research.rug.nl/en/publications/49255dc0-01df-4907-a49b-adb7e2b95f24
https://hdl.handle.net/11370/49255dc0-01df-4907-a49b-adb7e2b95f24

Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation

Autoři: Hongyi Yuan Zheng Yuan Chuanqi Tan a další

Zdroj: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). :22-39

Cross-Language Code Mapping with Transformer Encoder-Decoder Model

Autoři: M. V. Deepak Naik Swaminathan Jayaraman

Zdroj: Smart Innovation, Systems and Technologies ISBN: 9789819721467

Transformer Encoder–Decoder Framework for Nonlinear Pulse Evolution and Inverse Modeling.

Autoři: Murugan, Dinesh Kumar Joseph, Rajkumar Kanagaraj, Nithyanandan

Zdroj: Advanced Photonics Research; Nov2025, Vol. 6 Issue 11, p1-9, 9p

Témata: TRANSFORMER models, SUPERCONTINUUM generation, PHOTONICS, NONLINEAR waves, COMPUTER simulation, DYNAMIC simulation, OPTICAL communications