Advanced Methods and Deep Learning in Computer Vision

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 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection.

This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students.

《高級方法與深度學習在電腦視覺中的應用》介紹了近5-10年來出現的先進電腦視覺方法，強調機器學習和深度學習技術。本書清晰解釋了原理和算法，並提供了應用案例。涵蓋的主題包括機器學習、深度學習網絡、生成對抗網絡、深度強化學習、自監督學習、提取強健特徵、物體檢測、語義分割、圖像的語言描述、視覺搜索、視覺追蹤、3D形狀檢索、圖像修補、新奇和異常檢測。

本書對於研究人員和實踐者學習先進的電腦視覺方法非常適用，同時也適合作為高年級本科生和研究生修讀電腦視覺和深度學習的第二門課程的教材。