Method and apparatus for training fine-grained image recognition model, fine-grained image recognition method and apparatus, and storage mediums
US10902300B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 29, 2018 |
| Grant date | Jan 26, 2021 |
| Priority date | — |
| Expiry date | Apr 18, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/35
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a method and apparatus for training a fine-grained image recognition model, a device and a storage medium. 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; upon performing the fine-grained image recognition, inputting a to-be-recognized image to the fine-grained image recognition model, 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. The solution of the present disclosure can be applied to save manpower costs and improve the model training efficiency.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.