Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.
Abstract: Deep learning methods are increasingly being applied to mobile applications for word recognition and image captioning, offering innovative solutions to complex tasks. In this study, models ...
Researcher Andrew Dai believes that the artificial intelligence models at big labs have the intelligence of a 3-year-old kid, ...
AI image editing can streamline workflows and enhance photos with just a few clicks. Using Luminar Neo as an example, we show ...
Abstract: Low-light image enhancement (LLIE) is essential for photography, surveillance, and autonomous systems, where poor illumination severely degrades visibility and downstream task performance.
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