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Learn Computer Vision Using Opencv: With Deep Learning Cnns and Rnns
Discover the deep learning techniques required to build computer vision applications Build complex computer vision applications using the latest;
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Online Visual Tracking
evaluations. Visual tracking remains a highly active area of research in Computer Vision and the performance under complex scenarios has substantially;
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Mastering OpenCV 4 with Python
Create computer vision and deep learning web applications Who this book is forThis book is designed for computer vision developers, engineers;
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Advanced Image and Video Processing Using MATLAB
methods with computer vision applications, covering topics such as event recognition based on deep learning,dynamic scene classification based on;
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Domain Adaptation in Computer Vision with Deep Learning
This book provides a survey of deep learning approaches to domain adaptation in computer vision. It gives the reader an overview of the;
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Computer Vision ACCV 2020
-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot;
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Computer Vision ACCV 2020
-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot;
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Computer Vision ACCV 2020
-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot;
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Computer Vision ACCV 2020
-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot;
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Pattern Recognition and Computer Vision
Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully;
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Computer Analysis of Images and Patterns
and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019;
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Computer Vision -- ECCV 2016
photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based;
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Computer Vision -- ECCV 2016
photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based;
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Computer Vision -- ECCV 2016
photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based;
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Computer Vision -- ECCV 2016
photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based;
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Computer Vision -- ECCV 2016
photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based;
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Computer Vision -- ECCV 2016
photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based;
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Computer Vision -- ECCV 2016
photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based;
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Computer Vision - ACCV 2016. Part 5
Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016. The total of 143 contributions presented in these volumes was carefully;
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Computer Vision - ACCV 2016
Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016. The total of 143 contributions presented in these volumes was carefully;
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Computer Vision - ACCV 2016. Part 1
Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016. The total of 143 contributions presented in these volumes was carefully;
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Computer Vision - ACCV 2016
Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016. The total of 143 contributions presented in these volumes was carefully;
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Computer Vision - ACCV 2016. Part 3
Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016. The total of 143 contributions presented in these volumes was carefully;
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Computer Vision Metrics
-of-the-art survey for fundamental computer vision methods and deep learning. With over 800 essential references, as well as chapter-by-chapter;
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Computer Vision - ECCV 2016 Workshops
Visual Recognition Challenge; Geometry Meets Deep Learning; Action and Anticipation for Visual Learning; Computer Vision for Road Scene;
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Developments in Medical Image Processing and Computational Vision
-structure modelling and simulation, bone characterization, cell tracking, computer-aided diagnosis, dental imaging, face recognition, hand gestures;
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