Suchergebnisse - 1237: Advanced Deep Learning for Computer Vision and Multimedia Applications
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Advanced deep learning for computer vision and multimedia applications
ISSN: 1573-7721, 1380-7501, 1573-7721Veröffentlicht: New York Springer US 01.12.2024Veröffentlicht in Multimedia tools and applications (01.12.2024)Volltext
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WITHDRAWN: Advanced machine learning-based implementation patterns for computer vision and real-time multimedia applications
ISSN: 2214-7853, 2214-7853Veröffentlicht: 01.11.2020Veröffentlicht in Materials today : proceedings (01.11.2020)Volltext
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Deep learning-based vehicle event identification
ISSN: 1573-7721, 1380-7501, 1573-7721Veröffentlicht: New York Springer US 01.12.2024Veröffentlicht 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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Robust autonomous driving control using deep hybrid-learning network under rainy/snown conditions
ISSN: 1573-7721, 1380-7501, 1573-7721Veröffentlicht: New York Springer US 01.12.2024Veröffentlicht 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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Wrist joint synovial hypertrophy and effusion detection in musculoskeletal ultrasound images using self-attention U-Net
ISSN: 1573-7721, 1380-7501, 1573-7721Veröffentlicht: New York Springer US 01.12.2024Veröffentlicht 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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Optimizing photo-to-anime translation with prestyled paired datasets
ISSN: 1573-7721, 1380-7501, 1573-7721Veröffentlicht: New York Springer US 01.12.2024Veröffentlicht 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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Sub-pixel multi-scale fusion network for medical image segmentation
ISSN: 1573-7721, 1380-7501, 1573-7721Veröffentlicht: New York Springer US 01.12.2024Veröffentlicht in Multimedia tools and applications (01.12.2024)“… CNNs and Transformers have significantly advanced the domain of medical image segmentation …”
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AVAFN-adaptive variational autoencoder fusion network for multispectral image
ISSN: 1573-7721, 1380-7501, 1573-7721Veröffentlicht: New York Springer US 01.12.2024Veröffentlicht 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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ST-LP: self-training and label propagation for semi-supervised classification
ISSN: 1573-7721, 1380-7501, 1573-7721Veröffentlicht: New York Springer US 01.12.2024Veröffentlicht 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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Accurate detection of fresh and old vertebral compression fractures on CT images using ensemble YOLOR
ISSN: 1573-7721, 1380-7501, 1573-7721Veröffentlicht: New York Springer US 01.12.2024Veröffentlicht 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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Fuzzy validation of Taguchi-based convolutional fuzzy neural classifier for lung cancer imaging
ISSN: 1573-7721, 1380-7501, 1573-7721Veröffentlicht: New York Springer US 01.12.2024Veröffentlicht 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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Deep learning for computer vision: expert techniques to train advanced neural networks using TensorFlow and Keras
ISBN: 9781788295628, 1788293355, 9781788293358, 1788295625Veröffentlicht: 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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E-Book Buch -
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Advanced Methods and Deep Learning in Computer Vision
ISBN: 0128221097, 9780128221099, 9780128221495, 0128221496Veröffentlicht: 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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Advanced Methods and Deep Learning in Computer Vision
ISBN: 0128221097, 9780128221099Veröffentlicht: United States Elsevier Science & Technology 2021Veröffentlicht in Advanced Methods and Deep Learning in Computer Vision (2021)Volltext
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ADVANCED FOOTBALL ANALYSIS SYSTEM USING MACHINE LEARNING, COMPUTER VISION, AND DEEP LEARNING TECHNIQUES
ISSN: 2582-5208, 2582-5208Veröffentlicht: 19.11.2024Veröffentlicht in International Research Journal of Modernization in Engineering Technology and Science (19.11.2024)Volltext
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An Advanced Driver Assistance System Using Computer Vision and Deep-Learning
Veröffentlicht: IEEE 01.06.2018Veröffentlicht in 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS) (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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An Advanced Deep Learning and Computer Vision Framework for Precipitation Retrieval from Multi-Spectral Satellite Information
ISBN: 9798662412187Veröffentlicht: 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 -
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Using Real-Time Integrated Computer Vision and Deep Learning for Advanced Factory Safety
Veröffentlicht: IEEE 19.04.2024Veröffentlicht in 2024 IEEE 4th International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB) (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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Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
Veröffentlicht: Birmingham, United Kingdom Packt Publishing Limited 2018Veröffentlicht in Deep Learning for Computer Vision (2018)Volltext
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Advanced Computer Vision Alignment Technique Using Preprocessing Filters and Deep Learning
ISSN: 1633-1311, 2116-7125Veröffentlicht: Edmonton International Information and Engineering Technology Association (IIETA) 01.08.2024Veröffentlicht 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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