Image description generation method, model training method, device and storage medium

A computing device, comprising one or more processors, memory coupled to the one or more processors and a plurality of programs stored in the memory that, when executed by the one or more processors, cause the computing device to perform a plurality of operations comprising:

• obtaining a target image;
• generating a first global feature vector and a first label vector set of the target image;
• applying the target image to a matching model and generating a first multi-mode feature vector of the target image through the matching model, the matching model being a model obtained through training according to a training image and reference image description information of the training image;
• and
• generating target image description information of the target image according to the first multi-mode feature vector, the first global feature vector, and the first label vector set.

A non-transitory computer readable storage medium storing a plurality of machine readable instructions in connection with a computing device having one or more processors, wherein the plurality of machine readable instructions, when executed by the one or more processors, cause the computing device to perform a plurality of operations including:

• obtaining a target image;
• generating a first global feature vector and a first label vector set of the target image;
• applying the target image to a matching model and generating a first multi-mode feature vector of the target image through the matching model, the matching model being a model obtained through training according to a training image and reference image description information of the training image;
• and
• generating target image description information of the target image according to the first multi-mode feature vector, the first global feature vector, and the first label vector set.