A Review of Segment Anything Model and Its Applications

Segment anything model (SAM) is the first foundation model in computer vision, following the footsteps of natural language processing. Based on SAM, researchers have conducted a suite of works on a variety of applications in the past year, including image segmentation, object detection, image editing, video object tracking, etc. This paper conducts a comprehensive review on the works derived from SAM and makes a comparison concerning computational efficiency, model size, and the quality of the processing results. A bunch of evidenceable results indicates that the visual foundation model is able to advance vision task performance, and it is worth further exploring the application mode from the edge equipment. Finally, future developing trend on visual foundation model is discussed and concluded.