Computational Knowledge Vision: The First Footprints presents a novel, advanced framework which combines structuralized knowledge and visual models. In advanced image and visual perception studies, a visual model’s understanding and reasoning ability often determines whether it works well in complex scenarios. This book presents state-of-the-art mainstream vision models for visual perception. As computer vision is one of the key gateways to artificial intelligence and a significant component of modern intelligent systems, this book delves into computer vision systems that are highly specialized and very limited in their ability to do visual reasoning and causal inference. Questions naturally arise in this arena, including (1) How can human knowledge be incorporated with visual models? (2) How does human knowledge promote the performance of visual models? To address these problems, this book proposes a new framework for computer vision-computational knowledge vision. – Presents a concept and basic framework of Computational Knowledge Vision that extends the knowledge engineering methodology to the computer vision field- Discusses neural networks, meta-learning, graphs, and Transformer models- Illustrates a basic framework for Computational Knowledge Vision whose essential techniques include structuralized knowledge, knowledge projection, and conditional feedback
Fei-Yue Wang & Wenbo Zheng
Computational Knowledge Vision [EPUB ebook]
The First Footprints
Computational Knowledge Vision [EPUB ebook]
The First Footprints
قم بشراء هذا الكتاب الإلكتروني واحصل على كتاب آخر مجانًا!
لغة الإنجليزية ● شكل EPUB ● ISBN 9780443216183 ● الناشر Elsevier Science ● نشرت 2024 ● للتحميل 3 مرات ● دقة EUR ● هوية شخصية 9620998 ● حماية النسخ Adobe DRM
يتطلب قارئ الكتاب الاليكتروني قادرة DRM