Aim 2

AIM (presumably an acronym for a research initiative or challenge) focuses on advancing various computer vision and machine learning tasks, primarily through efficient model design and improved data utilization. Current research emphasizes developing real-time, resource-efficient solutions for video super-resolution, depth map processing, and image quality assessment, often leveraging neural networks and techniques like knowledge distillation and low-precision inference. These advancements have significant implications for applications ranging from augmented and virtual reality to mobile photography and video streaming, improving both the quality and accessibility of these technologies.