The development of modern machine learning could not have happened without an extensive research dataset. For quite some time, computer vision has relied on...
When navigating around an unknown facility, humans use various visual, spatial, and semantic cues to help them get to their destination quickly. However, taking...
Image and text datasets are widely used in many machine learning applications. To model the relationship between images and text, most multimodal Visio-linguistic models...
Among other Machine learning (ML) techniques, deep neural networks have become crucial components for various applications, including image classification, audio recognition, and natural language...
Computer vision (CV) is transforming industries and making life easier for consumers. Many downstream applications, such as self-driving cars, robots, medical imaging, and photo editing,...
Portrait images are an essential type of photograph that can be found in everyday life. The ability to intuitively control the poses and expressions...
Generative adversarial networks (GANs) have been used for few years to generate photorealistic images of objects or scenes that are very similar in style...
Artificial intelligence (AI) has transformed industries all over the world, including the healthcare sector. From fitness bracelets to glucose monitoring, modern technology allows anyone...
Training efficiency has become a significant factor for deep learning as the neural network models, and training data size grows. GPT-3 is an excellent...
Toshiba Corporation has created the world's most accurate and adaptable Visual Question Answering (VQA) AI, which can distinguish not just persons and objects in...
In recent years, deep neural networks have been proven effective at performing image manipulation tasks for which large training datasets are available such as,...
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