Search Results - 1237: Advanced Deep Learning for Computer Vision and Multimedia Applications

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  1. 1

    Advanced deep learning for computer vision and multimedia applications

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Published: New York Springer US 01.12.2024
    Published in Multimedia tools and applications (01.12.2024)
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    Journal Article
  2. 2

    Deep learning-based vehicle event identification by Chen, Yen-Yu, Chen, Jui-Chi, Lian, Zhen-You, Chiang, Hsin-You, Huang, Chung-Lin, Chuang, Cheng-Hung

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Published: New York Springer US 01.12.2024
    Published in Multimedia tools and applications (01.12.2024)
    “… This study used deep learning methods to automatically recognize vehicle events from recorded driving videos…”
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    Journal Article
  3. 3

    Robust autonomous driving control using deep hybrid-learning network under rainy/snown conditions by Lee, Chao-Yang, Khanum, Abida, Sung, Tien-Wen

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Published: New York Springer US 01.12.2024
    Published in Multimedia tools and applications (01.12.2024)
    “…The study introduces a groundbreaking two-stage deep hybrid learning architecture, Robust Autonomous Driving Control (RADC…”
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    Journal Article
  4. 4

    Wrist joint synovial hypertrophy and effusion detection in musculoskeletal ultrasound images using self-attention U-Net by Chang, Chuan-Wang, Chang, Chuan-Yu, Zhu, Yu-Xian, Wang, Sz-Tsan

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Published: New York Springer US 01.12.2024
    Published in Multimedia tools and applications (01.12.2024)
    “… Leveraging deep learning techniques, specifically semantic segmentation models, we introduce SEAT-UNet, which combines the U-Net architecture with a self-attention mechanism to enhance the accuracy…”
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    Journal Article
  5. 5

    Optimizing photo-to-anime translation with prestyled paired datasets by Chang, Chuan-Wang, Dharmawan, Pratamagusta

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Published: New York Springer US 01.12.2024
    Published in Multimedia tools and applications (01.12.2024)
    “… Numerous methods for style transfer have been developed using unsupervised learning and have achieved impressive results…”
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    Journal Article
  6. 6

    Sub-pixel multi-scale fusion network for medical image segmentation by Li, Jing, Chen, Qiaohong, Fang, Xian

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Published: New York Springer US 01.12.2024
    Published in Multimedia tools and applications (01.12.2024)
    “…CNNs and Transformers have significantly advanced the domain of medical image segmentation…”
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    Journal Article
  7. 7

    AVAFN-adaptive variational autoencoder fusion network for multispectral image by Chu, Wen-Lin, Tu, Ching-Che, Jian, Bo-Lin

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Published: New York Springer US 01.12.2024
    Published in Multimedia tools and applications (01.12.2024)
    “… The development of deep learning has significantly advanced image fusion, with neural networks' powerful feature extraction and reconstruction capabilities broadening the prospects for fused images…”
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    Journal Article
  8. 8

    ST-LP: self-training and label propagation for semi-supervised classification by Lin, Chih-Wen, Chiang, Chen-Kuo, Wang, Yu-An, Yang, Yue-Lin, Li, Hao-Ting, Lin, Tzu-Chieh

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Published: New York Springer US 01.12.2024
    Published in Multimedia tools and applications (01.12.2024)
    “…Due to the particularly high costs of manual data labeling, especially in the field of medical imaging, and the necessity for specialized knowledge, there is a…”
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    Journal Article
  9. 9

    Accurate detection of fresh and old vertebral compression fractures on CT images using ensemble YOLOR by Hsieh, Min-Hong, Chang, Chuan-Yu, Hsu, Shao-Min

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Published: New York Springer US 01.12.2024
    Published in Multimedia tools and applications (01.12.2024)
    “…Vertebral compression fractures resulting from osteoporosis contribute to pain and disability among older people, necessitating early detection and treatment…”
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    Journal Article
  10. 10

    Fuzzy validation of Taguchi-based convolutional fuzzy neural classifier for lung cancer imaging by Chang, Tsang-Chuan, Lin, Cheng-Jian, Yang, Tang-Yun

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Published: New York Springer US 01.12.2024
    Published in Multimedia tools and applications (01.12.2024)
    “…While deep learning technology is widely used in the field of image classification and recognition, parameter setting for convolutional neural networks is complex, and a high number of parameters make…”
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    Journal Article
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    Deep learning for computer vision: expert techniques to train advanced neural networks using TensorFlow and Keras by Shanmugamani, Rajalingappaa

    ISBN: 9781788295628, 1788293355, 9781788293358, 1788295625
    Published: Birmingham PACKT Publishing 2018
    “…Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision, the science of manipulating and processing images…”
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    eBook Book
  13. 13

    Advanced Methods and Deep Learning in Computer Vision by Davies, E. R, Turk, Matthew

    ISBN: 0128221097, 9780128221099, 9780128221495, 0128221496
    Published: Chantilly Elsevier Science & Technology 2021
    “…Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10…”
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    eBook
  14. 14

    Advanced Methods and Deep Learning in Computer Vision

    ISBN: 0128221097, 9780128221099
    Published: United States Elsevier Science & Technology 2021
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    Book Chapter
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    An Advanced Driver Assistance System Using Computer Vision and Deep-Learning by Trivedi, Yash, Negandhi, Prashil

    Published: IEEE 01.06.2018
    “… It uses computer vision algorithms to detect lanes, deep-learning to identify obstacles like other vehicles and decision trees to take driving decisions…”
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    Conference Proceeding
  17. 17

    An Advanced Deep Learning and Computer Vision Framework for Precipitation Retrieval from Multi-Spectral Satellite Information by Hayatbini, Negin

    ISBN: 9798662412187
    Published: ProQuest Dissertations & Theses 01.01.2020
    “… In this dissertation, state-of-the-art data-driven frameworks are proposed based on advanced deep learning algorithms and computer vision tools to extract the most useful…”
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    Dissertation
  18. 18

    Using Real-Time Integrated Computer Vision and Deep Learning for Advanced Factory Safety by Tsai, Shang-Te, Chang, Yu-Cheng, Huang, Chao-Yi, Yang, Fang-Yuan, Chien, Wei, Wu, Zong-Rong

    Published: IEEE 19.04.2024
    “… Using computer vision technology, we experimented with scenarios such as "normal operations" and "unexpected incidents" to enhance safety measures…”
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    Conference Proceeding
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    Advanced Computer Vision Alignment Technique Using Preprocessing Filters and Deep Learning by Ghindawi, Ekhlas Watan

    ISSN: 1633-1311, 2116-7125
    Published: Edmonton International Information and Engineering Technology Association (IIETA) 01.08.2024
    Published in Ingénierie des systèmes d'Information (01.08.2024)
    “… Deep learning techniques, which have been more and more popular recently, provide good outcomes when applied to alignment challenges in addition to many other computer vision problems…”
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    Journal Article