Halko, N., Martinsson, P., Tropp, J.: Finding structure with randomness: prob-abilistic algorithms for constructing approximate matrix decompositions. SIAM Rev. 53 (2), 217–288 …

Instance segmentation [6, 21] is one of the fundamental problems in computer vision, which provides many more details in comparison to object detection [28], or semantic segmentation [23]. With the development of deep learning, significant progress has been made in instance segmentation. Many annotated datasets of large quantity were proposed [5, 22]. However, in practice, when meeting a new environment with many new objects, large-scale training data collection and annotation is inevitable, which is cost-prohibitive and time-consuming. Researchers have longed for a means of generating numerous training samples with minor effort. Computer graphics simulation is a promising way, since a 3D