Multi-task Learning
摘要
The previous chapters have demonstrated the feasibility and adaptability of AI technologies to recognize building and infrastructure damage via images. However, many previous studies solely work on the existence of damage in the images and directly treat the problem as a single attribute classification or separately focus on finding the location or area of the damage as a localization or segmentation problem. Abundant information in the images from multiple sources and inter-task relationships are not fully exploited.