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.
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Table of Contents
1. Introduction Computational Knowledge Vision Frameworkn2. Reviewing the Past Enables us to Learnn
3. Computational Knowledge Vision Computational Knowledge Vision Solutionn
4. Low Vision: Computational Knowledge Vision for Edge Detection Modeln
5. Middle Vision: Computational Knowledge Vision for Visual Translation Modeln
6. Middle Vision: Computational Knowledge Vision for Jointly Face Recognitionn
7. High Vision: Computational Knowledge Vision for Visual Reasoning Model Computational Knowledge Vision Applicationn
8. Affective Computing: Computational Knowledge Vision for Depression Detection Modeln
9. Medical Computing: Computational Knowledge Vision for COVID-19 Detection Modeln
10. Medical Computing: Computational Knowledge Vision for Medical Visual Reasoning Model
