Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...
Amogh Chaturvedi is running on little sleep but plenty of conviction at 6 a.m. He’s groggy, apologetic for rescheduling, and still reeling from a recent scare involving a family member and an electric ...
Vision Language Models (VLMs) allow both text inputs and visual understanding. However, image resolution is crucial for VLM performance for processing text and chart-rich data. Increasing image ...
The Sun’s most complex mysteries could soon be solved thanks to artificial intelligence. On August 20, IBM and NASA announced the launch of Surya, a foundation model for the sun. Having been trained ...
Refresh for updates… Hours after the Skydance-Paramount merger closed last week, the new studio leadership group led by co-chairs Josh Greenstein and Dana Goldberg (who also serve as Vice Chair of ...
Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...
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Abstract: Automated medical report generation is a challenging task that involves synthesizing diagnostic findings and clinical observations from medical images. In this study, we propose a novel ...
Abstract: The automated generation of a NLP of an image has been in the spotlight because it is important in real-world applications and because it involves two of the most critical subfields of ...
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