EfficientViT SAM

EfficientViT is a family of vision transformer (ViT) architectures designed to improve the speed and efficiency of various computer vision tasks without sacrificing accuracy. Current research focuses on adapting EfficientViT for applications like satellite image classification, autonomous driving, and the Segment Anything Model (SAM), leveraging its efficiency to enable real-time processing on resource-constrained devices. This work is significant because it addresses the computational limitations of traditional ViTs, making advanced computer vision techniques more accessible for deployment in embedded systems and resource-limited environments. The resulting speed improvements and maintained accuracy are driving advancements in diverse fields.