Method and apparatus for training fine-grained image recognition model, fine-grained image recognition method and apparatus, and storage mediums

A fine-grained image recognition method, wherein the method comprises:

• obtaining a to-be-recognized image;
• inputting the to-be-recognized image to a fine-grained image recognition model obtained by pre-training, so that the fine-grained image recognition model positions key object parts in the image, and completes fine-grained image classification according to the key object parts, and outputs a classification result.

A computer device, comprising a memory, a processor and a computer program which is stored on the memory and runs on the processor, wherein the processor, upon executing the program, implements a method for training a fine-grained image recognition model, wherein the method comprises:

• obtaining images as training samples, and respectively obtaining a tag corresponding to each image, the tag including a class to which the image belongs;
• training according to the training samples and corresponding tags to obtain a fine-grained image recognition model, and performing constraint at a feature level from two dimensions, namely, the class and object parts, during the training, so that the fine-grained image recognition model learns key object parts in the images, and completes fine-grained image classification according to the key object parts.

A computer-readable storage medium on which a computer program is stored, wherein the program, when executed by a processor, implements a method for training a fine-grained image recognition model, wherein the method comprises:

• obtaining images as training samples, and respectively obtaining a tag corresponding to each image, the tag including a class to which the image belongs;
• training according to the training samples and corresponding tags to obtain a fine-grained image recognition model, and performing constraint at a feature level from two dimensions, namely, the class and object parts, during the training, so that the fine-grained image recognition model learns key object parts in the images, and completes fine-grained image classification according to the key object parts.

A computer device, comprising a memory, a processor and a computer program which is stored on the memory and runs on the processor, wherein the processor, upon executing the program, implements a fine-grained image recognition method, wherein the method comprises:

• obtaining a to-be-recognized image;
• inputting the to-be-recognized image to a fine-grained image recognition model obtained by pre-training, so that the fine-grained image recognition model positions key object parts in the image, and completes fine-grained image classification according to the key object parts, and outputs a classification result.

A computer-readable storage medium on which a computer program is stored, wherein the program, when executed by a processor, implements a fine-grained image recognition method, wherein the method comprises:

• obtaining a to-be-recognized image;
• inputting the to-be-recognized image to a fine-grained image recognition model obtained by pre-training, so that the fine-grained image recognition model positions key object parts in the image, and completes fine-grained image classification according to the key object parts, and outputs a classification result.