The self-supervised learning market is experiencing significant growth driven by data abundance, scalability and efficiency, performance improvement, transfer learning and fine-tuning, domain adaptation and…
Browsing: Domain Adaptation
A recent study highlights the limitations of deep learning models in sleep-wake classification using actigraphy data. However, innovative methodologies such as domain adaptation and…
This article discusses the use of domain adaptation techniques in healthcare to improve fall-risk prediction for elderly patients. By integrating data from multiple sources…
SKY ENGINE AI has raised $7 million in Series A funding to help companies improve computer vision with their Synthetic Data Cloud platform. This…
A research team led by Professor Sanghyun Park from the Department of Robotics and Mechanical Engineering at DGIST has developed a few-shot learning model…