Low-Shot Wall Defect Detection for Autonomous Decoration Robots Using Deep Reinforcement Learning

Figure 4

The detection and classification architecture of the wall defect. The initialization module is used to calculate rough center coordinates of detection, and the refinement module is used to refine detection and classification results with K recurrence iterations.