Ant colony optimization is a nature inspired optimization algorithm, that is motivated by the natural foraging behavior of ant species. Ant deposit pheromone on the ground to mark paths between a food source and their colony, which should be followed

Since most current scene understanding approaches operate either on the 2D image or using a surface-based representation, they do not allow reasoning about the physical constraints within the 3D scene. Inspired by the “Blocks World” work in the

灵感编程源代码等 Inspired source code, etc-Inspiration Inspired such as programming source code source code, etc