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Found 4 papers, 1 papers with code
Large AI Models in Health Informatics: Applications, Challenges, and the Future
Large AI models, or foundation models, are models recently emerging with massive scales both parameter-wise and data-wise, the magnitudes of which can reach beyond billions.
EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night Conditions
Comprehensive experiments have been conducted, and the impact of different adverse weather combinations on the performance of framework has also been investigated.
MenuAI: Restaurant Food Recommendation System via a Transformer-based Deep Learning Model
The promising results, with accuracy ranging from 77. 2% to 99. 5%, have demonstrated the great potential of LTR model in addressing food recommendation problems.
Clustering Egocentric Images in Passive Dietary Monitoring with Self-Supervised Learning
By clustering images into separate events, annotators and dietitians can examine and analyze the data more efficiently and facilitate the subsequent dietary assessment processes.
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