The invention discloses a hesitant iterative calculation method and device for multi-modal machine learning target recognition, and the method comprises the steps: training a plurality of different machine learning models; calculating a mis-association tensor; calculating a model label accuracy matrix and a multi-modal conclusion matrix; calculating a first hesitating conclusion vector, a second hesitating conclusion vector and a third hesitating conclusion vector; recalculating the weights of the plurality of machine learning models, and calculating hesitance vectors; iteratively solving a second hesitation conclusion vector, a third hesitation conclusion vector and a hesitation degree vector until a termination condition is met; and obtaining an attention coefficient vector, and obtaining a label conclusion of the to-be-identified body according to the attention coefficient vector, the third hesitation conclusion vector and the hesitation degree vector. According to the method, multi-modal recognition result fusion is realized by using a hesitation iterative calculation method, the interpretability of a plurality of machine learning methods participating in the recognition process is enhanced, and the hesitation degree of the recognition result is obtained on the basis of the accuracy of the recognition result.
Hesitant iterative calculation method and device for multi-modal machine learning target recognition