Výsledky vyhledávání - Encoder-Decoder Transformer Model

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  1. 1

    TrEnD: A transformer‐based encoderdecoder model with adaptive patch embedding for mass segmentation in mammograms Autor Liu, Dongdong, Wu, Bo, Li, Changbo, Sun, Zheng, Zhang, Nan

    ISSN: 0094-2405, 2473-4209, 2473-4209
    Vydáno: United States 01.05.2023
    Vydáno v Medical physics (Lancaster) (01.05.2023)
    “… Methods We propose an effective transformer‐based encoderdecoder model (TrEnD). Firstly…”
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    Journal Article
  2. 2

    TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records Autor Yang, Zhichao, Mitra, Avijit, Liu, Weisong, Berlowitz, Dan, Yu, Hong

    ISSN: 2041-1723, 2041-1723
    Vydáno: London Nature Publishing Group UK 29.11.2023
    Vydáno v Nature communications (29.11.2023)
    “… In this study, we present TransformEHR, a generative encoder-decoder model with transformer that is pretrained using a new pretraining objective…”
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    Journal Article
  3. 3

    Road Extraction from Remote Sensing Images Using a Skip-Connected Parallel CNN-Transformer Encoder-Decoder Model Autor Gui, Linger, Gu, Xingjian, Huang, Fen, Ren, Shougang, Qin, Huanhuan, Fan, Chengcheng

    ISSN: 2076-3417, 2076-3417
    Vydáno: Basel MDPI AG 01.02.2025
    Vydáno v Applied sciences (01.02.2025)
    “…) with a Transformer Encoder Module (TEM). The integration combines the CEM’s strength in local feature extraction…”
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    Journal Article
  4. 4

    Artificial Intelligence-Based Fault Diagnosis for Steam Traps Using Statistical Time Series Features and a Transformer Encoder-Decoder Model Autor Kim, Chul, Cho, Kwangjae, Joe, Inwhee

    ISSN: 2079-9292, 2079-9292
    Vydáno: Basel MDPI AG 01.03.2025
    Vydáno v Electronics (Basel) (01.03.2025)
    “… This paper proposes a novel predictive maintenance system for steam traps that integrates statistical time series features and transformer encoder…”
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    Journal Article
  5. 5

    Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers Autor Chefer, Hila, Gur, Shir, Wolf, Lior

    ISSN: 2380-7504
    Vydáno: IEEE 01.10.2021
    “… to the prediction in the model's input. In this work, we propose the first method to explain prediction by any Transformer-based architecture, including bi-modal Transformers and Transformers with co-attentions…”
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    Konferenční příspěvek
  6. 6

    Stacked encoderdecoder transformer with boundary smoothing for action segmentation Autor Kim, Gyeong‐hyeon, Kim, Eunwoo

    ISSN: 0013-5194, 1350-911X
    Vydáno: Stevenage John Wiley & Sons, Inc 01.12.2022
    Vydáno v Electronics letters (01.12.2022)
    “…In this work, a new stacked encoderdecoder transformer (SEDT) model is proposed for action segmentation…”
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    Journal Article
  7. 7

    EDSOD: An Encoder-Decoder, Diffusion-model, and Swin-Transformer-based Small Object Detector Autor Li, Junnian, Zhou, MengChu, Cao, Zhengcai

    ISSN: 2153-0866
    Vydáno: IEEE 19.10.2025
    “… To tackle such issues, this work proposes a new encoder-decoder-based SOD framework with a Diffusion Model and Swin Transformer given aerial images…”
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    Konferenční příspěvek
  8. 8

    Temporal convolutional and fusional transformer model with Bi-LSTM encoder-decoder for multi-time-window remaining useful life prediction Autor Pour, Mohamadreza Akbari, Karimi, Mohamad Sadeq, Mazloumi, Amir Hossein

    ISSN: 2169-3536, 2169-3536
    Vydáno: IEEE 2025
    Vydáno v IEEE access (2025)
    “…) for localized temporal feature extraction with a modified Temporal Fusion Transformer (TFT) enhanced by Bi-LSTM encoder-decoders…”
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    Journal Article
  9. 9

    A Comparison of Transformer and LSTM Encoder Decoder Models for ASR Autor Zeyer, Albert, Bahar, Parnia, Irie, Kazuki, Schluter, Ralf, Ney, Hermann

    Vydáno: IEEE 01.12.2019
    “…We present competitive results using a Transformer encoder-decoder-attention model for end-to-end speech recognition needing less training time compared to a similarly performing LSTM model…”
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    Konferenční příspěvek
  10. 10

    Finetuning Encoder-Decoder Transformer Models for Text Summarization Using Pause Tokens Autor Odeyemi, Glory

    ISBN: 9798302872760
    Vydáno: ProQuest Dissertations & Theses 01.01.2025
    “…In natural language processing, text summarization is widely explored using transformer-based models due to their strong ability to capture and generate meaningful representations of input text…”
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    Dissertation
  11. 11

    A Comparative Evaluation of Transformer-Based Vision Encoder-Decoder Models for Brazilian Portuguese Image Captioning Autor Bromonschenkel, Gabriel, Oliveira, Hilario, Paixao, Thiago M.

    ISSN: 2377-5416
    Vydáno: IEEE 30.09.2024
    “… This work seeks to contribute to this context by fine-tuning and investigating the performance of vision language models based on the Transformer architecture in Brazilian Portuguese…”
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    Konferenční příspěvek
  12. 12

    Image Captioning Using Vision Transformer Encoder Decoder Model Autor Kareemunissa, Ramachandran, Prakash

    Vydáno: IEEE 28.05.2025
    “…The automated generation of a NLP of an image has been in the spotlight because it is important in real-world applications and because it involves two of the…”
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  13. 13

    Pre-Trained Encoder Decoder Transformer Model for Language Processing Autor K, Farhan Akthar, K, Deepaksakthi V, A, Tamizhselvi

    Vydáno: IEEE 07.01.2025
    “… In this project, a novel approach to address these limitations is to build an encoder-decoder transformer model specifically for the Tamil language…”
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    Konferenční příspěvek
  14. 14

    Enhanced brain tumour segmentation using a hybrid dual encoderdecoder model in federated learning Autor Narmadha, K., Varalakshmi, P.

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 02.10.2025
    Vydáno v Scientific reports (02.10.2025)
    “… To address these drawbacks, we propose a Hybrid Dual EncoderDecoder Segmentation Model in Federated Learning, that integrates EfficientNet with Swin Transformer as encoders and BASNet…”
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    Journal Article
  15. 15

    A Novel Length Controllable Encoder-Decoder Transformer Model for Abstractive Summarization of Scientific Documents Autor Sharma, Grishma, Sharma, Deepak

    ISBN: 9798331534806
    Vydáno: IEEE 04.07.2025
    “… of it. To perform abstractive summarization of scientific publications, a unique lengthcontrollable encoder-decoder transformer approach is proposed in this study…”
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    Konferenční příspěvek
  16. 16

    Reframing Software Log Summarisation as Multi-Label Classification with Encoder-Decoder Transformer Model Autor Turkzeybek, Furkan Zeki, Inan, Emrah

    Vydáno: IEEE 06.09.2025
    “… Recent improvements in natural language processing, brought about by transformers that evolved into large language models, offer substantial capabilities that can be implemented for log summarisation tasks…”
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    Konferenční příspěvek
  17. 17

    Road Extraction from Remote Sensing Images Using a Skip-Connected Parallel CNN-Transformer Encoder-Decoder Model Autor Dharani Sri, Vuyyuru

    ISSN: 2582-3930, 2582-3930
    Vydáno: 31.05.2025
    “…) with a Transformer Encoder Module (TEM). The integration combines the CEM’s strength in local feature extraction…”
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    Journal Article
  18. 18

    CT-γ-Net: A Hybrid Model Based on Convolutional EncoderDecoder and Transformer Encoder for Brain Tumor Localization Autor Bedi, Punam, Ningshen, Ningyao, Rani, Surbhi, Gole, Pushkar, Bhasin, Veenu

    ISSN: 2972-3841, 2972-3841
    Vydáno: 21.01.2025
    “… The proposed CT-γ-Net model follows an encoder-decoder structure in which the convolutional encoder…”
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    Journal Article
  19. 19

    Single Block Encoder-Decoder Transformer Model for Multi-Step Traffic Flow Forecasting Autor Omar, Mas, Yakub, Fitri, Abu Talip, Mohamad Sofian, Nazmin Maslan, Mohd, Sinha, Vijay Kumar, Muljono, Muljono

    ISSN: 2996-6752
    Vydáno: IEEE 10.08.2024
    “… This is particularly true for the simplest form of a single block encoder-decoder Transformer model, which can be finely tuned through optimised hyperparameters…”
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  20. 20

    Attention-Guided Facial Emotion Recognition with Swin Transformer Encoder Decoder Model Autor Jeen Retna Kumar, R, Anushlin Leena, M B, Saumiya, S, Gnanaprakash, V, Febin, U, Stanley, Berakhah F

    Vydáno: IEEE 05.12.2024
    “… A novel technique of FER that integrates an attention-guided Swin Transformer-based encoder-decoder model is furnished here…”
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    Konferenční příspěvek