Research of classification method fornatural images based on multitask learning
基于多任务学习的自然图像分类研究

Considering it's difficult to distinguish different images because the content and structure of natural images is very complex, this paper proposed a classification method for natural images based on multitasks learning. It designed some extra tasks to assist the main task's learning, and constructed correlation matrix that measured the correlation between tastes. It proposed a study model that main task jointed extra tasks to make decision. And controlled the degree of extra tasks involved main task's decision though the correlation between main task and extra tasks. Experiment results show that the proposed method can markedly improve the generalization capability of classifier comparing with single task learning, especially in the case of lacking enough prior knowledge.