Titlebook: Image and Vision Computing; 37th International C Wei Qi Yan,Minh Nguyen,Martin Stommel Conference proceedings 2023 The Editor(s) (if applic

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Sam Schofield,Andrew Bainbridge-Smith,Richard Greennd devel- oped by others, notably Schroder [178], in the remainder of the nineteenth century. Boolean equations are also the language by which digital circuits are described today. Logicians in the twentieth century have abandoned Boole‘s equation- based logic in favor of the more powerful predicate

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Mariia Khan,Jumana Abu-Khalaf,David Suter,Bodo Rosenhahnesentations of boolean representations of simplicial complex.This self-contained monograph explores a new theory centered around boolean representations of simplicial complexes leading to a new class of complexes featuring matroids as central to the theory. The book illustrates these new tools to st

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Leo Venn,Steven Millsesentations of boolean representations of simplicial complex.This self-contained monograph explores a new theory centered around boolean representations of simplicial complexes leading to a new class of complexes featuring matroids as central to the theory. The book illustrates these new tools to st

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,StencilTorch: An Iterative and?User-Guided Framework for?Anime Lineart Colorization,ding and texture, making the task even more difficult. Modern approaches train a Generative Adversarial Network (GAN) to generate illustrations from user inputs such as color hints. While such approaches can generate high-quality outputs in real-time, the user only interacts with the pipeline once a

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,UnseenNet: Fast Training Detector for?Unseen Concepts with?No Bounding Boxes,ect-level labels and takes hours to train on unseen classes. There are many cases where we have large amount of image-level labels available for training and cannot be utilized by few shot object detection models for training. There is a need for a machine learning framework that can be used for tra

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Vehicle-Related Distance Estimation Using Customized YOLOv7,ecome an important branch in the field of deep learning. In the face of complex traffic environments, collision avoidance systems need to detect vehicles quickly and accurately in traffic distance to the vehicle in front. Against this background, in this paper, we aim at investigating how to build a