[ad_1] Introduction: In recent years, image classification has become a significant research area due to the increasing availability of large datasets and the advancement of deep learning techniques. Convolutional Neural Networks (CNNs) have shown remarkable…
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[ad_1] Introduction: In recent years, chatbots have become increasingly popular in various industries such as customer service, healthcare, and education. Chatbots are computer programs that can simulate conversation with human users, typically through text or…
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[ad_1] Introduction In recent years, recommendation systems have become an integral part of many online platforms, helping users discover new movies, books, products, and more based on their preferences and past behavior. Machine learning algorithms…
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[ad_1] Introduction: Three-dimensional (3D) mesh processing is a vital area of research in computer graphics and computer-aided design. 3D mesh processing involves manipulating geometric structures represented by interconnected vertices, edges, and faces to create or…
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[ad_1] Introduction In recent years, 3D point cloud processing has emerged as a key technology for analyzing 3D data in various fields such as computer vision, robotics, and augmented reality. Point clouds are collections of…
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[ad_1] Introduction In recent years, there has been a growing interest in 3D scene flow estimation for dynamic understanding in the field of computer vision. This is due to the increasing demand for accurate and…
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[ad_1] Introduction: 3D shape generation is an emerging field in computer science and engineering that involves creating three-dimensional models of objects using computer algorithms. This process is essential in various industries such as gaming, virtual…
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[ad_1] Introduction: In recent years, 3D shape modeling has gained significant attention in the field of computer vision and computer graphics for object representation. The ability to accurately represent objects in three dimensions is crucial…
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[ad_1] Introduction: Generative models for image synthesis have gained significant attention in recent years due to their ability to create realistic images from scratch. These models have been used in various applications such as image…
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[ad_1] Introduction Image-to-image translation, also known as image synthesis, is a growing field in computer vision and machine learning that focuses on transforming an input image from one domain to another. Domain adaptation, on the…
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