Výsledky vyhledávání - "encoder–decoder framework"

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  1. 1

    The exploration of a Temporal Convolutional Network combined with Encoder-Decoder framework for runoff forecasting Autor Lin, Kangling, Sheng, Sheng, Zhou, Yanlai, Liu, Feng, Li, Zhiyu, Chen, Hua, Xu, Chong-Yu, Chen, Jie, Guo, Shenglian

    ISSN: 0029-1277, 1998-9563, 2224-7955
    Vydáno: London IWA Publishing 01.10.2020
    Vydáno v Hydrology Research (01.10.2020)
    “… Both models perform poorly in the low flow and well in the medium and high flow at most forecast horizons, while it is subject to the forecast horizon in forecasting peak flow…”
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    Journal Article
  2. 2

    High-Order Interaction Learning for Image Captioning Autor Wang, Yanhui, Xu, Ning, Liu, An-An, Li, Wenhui, Zhang, Yongdong

    ISSN: 1051-8215, 1558-2205
    Vydáno: New York IEEE 01.07.2022
    “… If we define the context of the interaction to be involved in the subject-predicate-object triplet, most current methods only focus on the single triplet for the first-order interaction to generate sentences…”
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    Journal Article
  3. 3

    Joint Embedding of Deep Visual and Semantic Features for Medical Image Report Generation Autor Yang, Yan, Yu, Jun, Zhang, Jian, Han, Weidong, Jiang, Hanliang, Huang, Qingming

    ISSN: 1520-9210, 1941-0077
    Vydáno: Piscataway IEEE 2023
    “…Medical image report generation (MeIRG) aims at generating associated diagnosis descriptions with natural language sentences from medical images, which is…”
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    Journal Article
  4. 4

    REVECA -- Rich Encoder-decoder framework for Video Event CAptioner Autor Heo, Jaehyuk, Jeong, YongGi, Sunwoo, Kim, Kim, Jaehee, Kang, Pilsung

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 18.06.2022
    Vydáno v arXiv.org (18.06.2022)
    “… We designed a Rich Encoder-decoder framework for Video Event CAptioner (REVECA) that utilizes spatial and temporal information from the video to generate a caption for the corresponding the event boundary…”
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  5. 5

    Auto‐segmentation of thoraco‐abdominal organs in pediatric dynamic MRI Autor Akhtar, Yusuf, Udupa, Jayaram K., Tong, Yubing, Liu, Tiange, Wu, Caiyun, Kogan, Rachel, Al‐Noury, Mostafa, Hosseini, Mahdie, Tong, Leihui, Mannikeri, Samarth, Odhner, Dewey, Mcdonough, Joseph M., Lott, Carina, Clark, Abigail, Cahill, Patrick J., Anari, Jason B., Torigian, Drew A.

    ISSN: 0094-2405, 2473-4209, 2473-4209
    Vydáno: United States 01.11.2025
    Vydáno v Medical physics (Lancaster) (01.11.2025)
    “… The encoderdecoder framework in DL‐D utilizes features at four different resolution levels to counter the challenges involved in segmentation…”
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  6. 6

    Feasibility of Transfer Learning from Finger PPG to In-Ear PPG Autor Davies, Harry J., Zylinski, Marek, Bermond, Matteo, Liu, Zhuang, Khaleghimeybodi, Morteza, Mandic, Danilo P.

    ISSN: 2694-0604, 2694-0604
    Vydáno: United States IEEE 01.01.2023
    “… This is achieved by introducing an encoder-decoder framework which is set up to extract respiratory waveforms from PPG, whereby simultaneously recorded gold standard respiratory waveforms…”
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    Konferenční příspěvek Journal Article
  7. 7

    Unbinding tensor product representations for image captioning with semantic alignment and complementation Autor Wu, Bicheng, Wo, Yan

    ISSN: 0942-4962, 1432-1882
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2024
    Vydáno v Multimedia systems (01.06.2024)
    “… Many state-of-the-art methods generally adopt the encoderdecoder framework to implement information conversion from image modality to text modality…”
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  8. 8

    Distress-Level Prediction of Pavement Deterioration with Causal Analysis and Uncertainty Quantification Autor Sun, Yifan, Gao, Qian, Li, Feng, Du, Yuchuan

    ISSN: 2076-3417, 2076-3417
    Vydáno: Basel MDPI AG 01.10.2025
    Vydáno v Applied sciences (01.10.2025)
    “… Subject to the combined influence of multiple factors, pavement distress deterioration exhibits pronounced nonlinear and time-lag characteristics, making distress-level predictions prone…”
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  9. 9

    Remote Sensing Image Captioning Using Deep Learning Autor Yamani, Bhavitha, Medavarapu, Nikhil, Rakesh, S.

    Vydáno: IEEE 14.03.2024
    “… In the realm of remote sensing image captioning, the prevailing approach predominantly employs encoder-decoder frameworks…”
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  10. 10

    The Construction of Machine Translation Model and Its Application in English Grammar Error Detection Autor Long, Fei

    ISSN: 1939-0114, 1939-0122
    Vydáno: London Hindawi 18.12.2021
    Vydáno v Security and communication networks (18.12.2021)
    “… grammar error detection. In the encoder-decoder framework, the machine translation model is constructed through the steps of word vector generation, encoder language model construction, decoder language model construction…”
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    Journal Article
  11. 11

    Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (Ed-Densenet) Autor Yuan, Yixuan, Qin, Wenjian, Guo, Xiaoqing, Buyyounouski, Mark, Hancock, Steve, Han, Bin, Xing, Lei

    ISSN: 1945-8452
    Vydáno: IEEE 01.04.2019
    “… features and a dense decoder pathway, which predicts the final segmentation in the pixel level. Instead of using the convolutional network as the basic unit in the encoder-decoder framework, we utilize Densely Connected Convolutional Network…”
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  12. 12

    Auto-segmentation of thoraco-abdominal organs in pediatric dynamic MRI Autor Akhtar, Yusuf, Udupa, Jayaram K, Tong, Yubing, Liu, Tiange, Wu, Caiyun, Kogan, Rachel, Al-Noury, Mostafa, Hosseini, Mahdie, Tong, Leihui, Mannikeri, Samarth, Odhner, Dewey, Mcdonough, Joseph M, Lott, Carina, Clark, Abigail, Cahill, Patrick J, Anari, Jason B, Torigian, Drew A

    Vydáno: United States 06.05.2024
    “… We can use healthy subjects to find out the normal architecture and motion of a rib cage and associated organs and attempt to modify the patient's deformed anatomy to match…”
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    Journal Article
  13. 13

    Learning to Discretely Compose Reasoning Module Networks for Video Captioning Autor Tan, Ganchao, Liu, Daqing, Wang, Meng, Zheng-Jun Zha

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 17.07.2020
    Vydáno v arXiv.org (17.07.2020)
    “…), to equip the existing encoder-decoder framework with the above…”
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  14. 14

    Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text Autor Liu, Yue, Zhang, Tongtao, Liang, Zhicheng, Ji, Heng, McGuinness, Deborah L

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 08.08.2018
    Vydáno v arXiv.org (08.08.2018)
    “… Inspired by recent successes in neural machine translation, we treat the triples within a given knowledge graph as an independent graph language and propose an encoder-decoder framework…”
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  15. 15

    Attention-based Walking Gait and Direction Recognition in Wi-Fi Networks Autor Xu, Yang, Chen, Min, Yang, Wei, Chen, Sheng, Huang, Liusheng

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 31.01.2019
    Vydáno v arXiv.org (31.01.2019)
    “…) encoder-decoder framework to implement a cycle-independent human gait and walking direction recognition system in Wi-Fi networks…”
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  16. 16

    A Deep Learning Approach for Automated Image Captioning with CNN and LSTM Models Autor C, Shanmukh Shekar K, Natarajan, Suresh Kumar, I, Ambika

    Vydáno: IEEE 28.05.2025
    “…Accurately describing a picture has turned out to be a crucial problem, and expert system researchers have always been interested in image captioning,…”
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