Search Results - (("deep encoder–decoder architecture") OR ("Deep encoder–design architektury"))

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  1. 1

    Opinion-unaware blind picture quality measurement using deep encoderdecoder architecture by Zhou, Wujie, Lin, Xinyang, Zhou, Xi, Lei, Jingsheng, Yu, Lu, Luo, Ting

    ISSN: 1051-2004, 1095-4333
    Published: Elsevier Inc 01.12.2020
    Published in Digital signal processing (01.12.2020)
    “… Inspired by this, we propose a deep encoderdecoder architecture (DEDA) for opinion-unaware (OU…”
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    Journal Article
  2. 2

    Two-stream deep encoder-decoder architecture for fully automatic video object segmentation by Xu, Jingwei, Song, Li, Xie, Rong

    Published: IEEE 01.12.2017
    “…We propose a two-stream Deep Encoder-Decoder architecture to tackle the task of fully automatic video object segmentation…”
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    Conference Proceeding
  3. 3

    Benchmark of Deep Encoder-Decoder Architectures for Head and Neck Tumor Segmentation in Magnetic Resonance Images: Contribution to the HNTSMRG Challenge by Wodzinski, Marek

    ISBN: 9783031832734, 3031832736
    Published: Switzerland Springer 2025
    “…Radiation therapy is one of the most frequently applied cancer treatments worldwide, especially in the context of head and neck cancer. Today, MRI-guided…”
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    Book Chapter Journal Article
  4. 4

    WaSR-A Water Segmentation and Refinement Maritime Obstacle Detection Network by Bovcon, Borja, Kristan, Matej

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Published: Piscataway IEEE 01.12.2022
    Published in IEEE transactions on cybernetics (01.12.2022)
    “…) detections in the presence of water reflections and wakes. We propose a novel deep encoder-decoder architecture, a water segmentation and refinement (WaSR…”
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    Journal Article
  5. 5

    MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images by Li, Rui, Duan, Chenxi, Zheng, Shunyi, Zhang, Ce, Atkinson, Peter M.

    ISSN: 1545-598X, 1558-0571
    Published: Piscataway IEEE 2022
    “… U-Net, a deep encoder-decoder architecture, has been used frequently for image segmentation with high accuracy…”
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    Journal Article
  6. 6

    The shape variational autoencoder: A deep generative model of part‐segmented 3D objects by Nash, C., Williams, C. K. I.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.08.2017
    Published in Computer graphics forum (01.08.2017)
    “… Our model makes use of a deep encoderdecoder architecture that leverages the part‐decomposability of 3D objects to embed high…”
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    Journal Article
  7. 7

    Machine Learning to Improve Multi-Hop Searching and Extended Wireless Reachability in V2X by Morocho-Cayamcela, Manuel Eugenio, Lee, Haeyoung, Lim, Wansu

    ISSN: 1089-7798, 1558-2558
    Published: New York IEEE 01.07.2020
    Published in IEEE communications letters (01.07.2020)
    “… We use a two-step machine learning routine: improved deep encoder-decoder architecture to generate environmental maps and <inline-formula> <tex-math notation="LaTeX">{Q} </tex-math></inline-formula…”
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    Journal Article
  8. 8

    Deep-learning-based inverse design model for intelligent discovery of organic molecules by Kim, Kyungdoc, Kang, Seokho, Yoo, Jiho, Kwon, Youngchun, Nam, Youngmin, Lee, Dongseon, Kim, Inkoo, Choi, Youn-Suk, Jung, Yongsik, Kim, Sangmo, Son, Won-Joon, Son, Jhunmo, Lee, Hyo Sug, Kim, Sunghan, Shin, Jaikwang, Hwang, Sungwoo

    ISSN: 2057-3960, 2057-3960
    Published: London Nature Publishing Group UK 03.12.2018
    Published in npj computational materials (03.12.2018)
    “… In this regard, here we develop an inverse design model based on a deep encoder-decoder architecture for targeted molecular design…”
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    Journal Article
  9. 9

    Enhancing Aerial Semantic Segmentation With Feature Aggregation Network for DeepLabV3 by Nguyen, Gia-Vuong, Huynh-The, Thien

    ISSN: 1545-598X, 1558-0571
    Published: Piscataway IEEE 2024
    “…As a cutting-edge deep encoder-decoder architecture, DeepLabV3+ has been realized as a cutting-edge solution for image segmentation, especially aerial semantic segmentation in remote sensing applications…”
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    Journal Article
  10. 10

    A deep contrastive framework for unsupervised temporal link prediction in dynamic networks by Jiao, Pengfei, Zhang, Xinxun, Liu, Zehao, Zhang, Long, Wu, Huaming, Gao, Mengzhou, Li, Tianpeng, Wu, Jian

    ISSN: 0020-0255
    Published: Elsevier Inc 01.05.2024
    Published in Information sciences (01.05.2024)
    “…In dynamic networks, temporal link prediction aims to predict the appearance and disappearance of links in future snapshots based on the network structure we…”
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    Journal Article
  11. 11

    Enhanced deep learning network for accurate digital elevation model generation from LiDAR data by Al-Fugara, A'kif, Almomani, Mohammad H., Zitar, Raed Abu, Alzahrani, Ahmed Ibrahim, Alwadain, Ayed, Abualigah, Laith

    ISSN: 0926-5805
    Published: Elsevier B.V 01.11.2024
    Published in Automation in construction (01.11.2024)
    “… This task is essential in the building of digital terrain models (DTMs). The proposed network is based on a deep encoder-decoder architecture and includes efficient…”
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    Journal Article
  12. 12

    Data-driven identification of nonlinear normal modes via physics-integrated deep learning by Li, Shanwu, Yang, Yongchao

    ISSN: 0924-090X, 1573-269X
    Published: Dordrecht Springer Netherlands 01.12.2021
    Published in Nonlinear dynamics (01.12.2021)
    “…Identifying the characteristic coordinates or modes of nonlinear dynamical systems is critical for understanding, analysis, and reduced-order modeling of the…”
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    Journal Article
  13. 13

    AGA: Attribute-Guided Augmentation by Dixit, Mandar, Kwitt, Roland, Niethammer, Marc, Vasconcelos, Nuno

    ISSN: 1063-6919, 1063-6919
    Published: IEEE 01.07.2017
    “… We implement our approach as a deep encoder-decoder architecture that learns the synthesis…”
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    Conference Proceeding
  14. 14

    Deep Road Scene Understanding by Zhou, Wujie, Lv, Sijia, Jiang, Qiuping, Yu, Lu

    ISSN: 1070-9908, 1558-2361
    Published: IEEE 01.04.2019
    Published in IEEE signal processing letters (01.04.2019)
    “…Road scene understanding is a difficult task in autonomous driving. In this letter, we propose a novel deep encoder-decoder architecture for road scene understanding in an end-to-end manner…”
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    Journal Article
  15. 15

    Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation by Bilinski, Piotr, Prisacariu, Victor

    ISSN: 1063-6919
    Published: IEEE 01.06.2018
    “…We propose a novel end-to-end trainable, deep, encoder-decoder architecture for single-pass semantic segmentation…”
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    Conference Proceeding
  16. 16

    A Single-to-Multi Network for Latency-Free Non-Intrusive Load Monitoring by Liu, Yinyan, Qiu, Jing, Lu, Junda, Wang, Wei, Ma, Jin

    ISSN: 2327-4697, 2334-329X
    Published: Piscataway IEEE 01.03.2022
    “…) with deep encoder-decoder architecture to remove the unrealistic assumptions and reduce the size of the network to achieve latency-free NILM with only one model…”
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    Journal Article
  17. 17

    A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects by Yan, Xiongfeng, Yang, Min

    ISSN: 2220-9964, 2220-9964
    Published: Basel MDPI AG 01.10.2022
    “… In this study, a shape encoding framework based on a deep encoderdecoder architecture was proposed, and three different methods for encoding planar geospatial shapes…”
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    Journal Article
  18. 18

    Hourglass 3D CNN for Stereo Disparity Estimation for Mobile Robots by La, Thai, Tao, Linh, Minh Tran, Chanh, Nguyen Duc, Tho, Kamioka, Eiji, Tan, Phan Xuan

    ISSN: 2076-3417, 2076-3417
    Published: Basel MDPI AG 01.10.2023
    Published in Applied sciences (01.10.2023)
    “…Stereo cameras allow mobile robots to perceive depth in their surroundings by capturing two separate images from slightly different perspectives. This is…”
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    Journal Article
  19. 19

    SAEP: A Surrounding-Aware Individual Emotion Prediction Model Combined with T-LSTM and Memory Attention Mechanism by Wang, Yakun, Du, Yajun, Hu, Jinrong, Li, Xianyong, Chen, Xiaoliang

    ISSN: 2076-3417, 2076-3417
    Published: Basel MDPI AG 01.12.2021
    Published in Applied sciences (01.12.2021)
    “… To fill this gap, a surrounding-aware individual emotion prediction model (SAEP) based on a deep encoder…”
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    Journal Article
  20. 20

    Fast predictive multimodal image registration by Xiao Yang, Kwitt, Roland, Styner, Martin, Niethammer, Marc

    ISSN: 1945-8452
    Published: IEEE 01.04.2017
    “…We introduce a deep encoder-decoder architecture for image deformation prediction from multimodal images…”
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    Conference Proceeding