Reinforcement learning model for labeling spatial relationships between images
Abstract:
A computing system is provided, including a processor configured to receive a labeling map for a first image. The labeling map may indicate a spatial relationship between a first region of interest included in the first image and a second region of interest included in a second image. At a trained reinforcement learning model, the processor may be further configured to generate an updated labeling map for the first image based on at least the labeling map, the first image, and the second image.
Information query
Patent Agency Ranking
0/0