Multi-task classification of distress types and deterioration levels for infrastructure maintenance

Abstract

This paper proposes a multi-task classification method that classifies both the distress type and deterioration level at the same time. Conventionally, classifying the deterioration level has been conducted for each distress type by using multiple models. In contrast, the proposed method enables classification of the deterioration level without assigning a distress type to the distress image in advance, by training a single model through loss minimization considering the distress type and deterioration level. In the last part of the paper, it is verified that the proposed method can achieve classification performance equivalent to models constructed for each distress type with a single model by using images of actual distress that have occurred on infrastructure.