Disclosed in embodiments of the present application is an image description model training method. An image description model comprises a convolutional coding neural network and a recursive decoding neural network. The method comprises: obtaining an image feature vector of an image sample by means of the convolutional coding neural network; decoding the image feature vector by means of the recursive decoding neural network to obtain a statement for describing the image sample; determining a matching degree between the statement obtained by decoding and the image sample, and adjusting the recursive decoding neural network according to the matching degree; and determining the smoothness of the statement obtained by decoding, and adjusting the recursive decoding neural network according to the smoothness.
IMAGE DESCRIPTION MODEL TRAINING METHOD AND DEVICE, AND STORAGE MEDIUM