Fine-grained image recognition method and apparatus using graph structure represented high-order relation discovery
US12293191B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 9, 2021 |
| Grant date | May 6, 2025 |
| Priority date | — |
| Expiry date | Mar 6, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present disclosure provides a fine-grained image recognition method and apparatus using graph structure represented high-order relation discovery, wherein the method includes: inputting an image to be classified into a convolutional neural network feature extractor with multiple stages, extracting two layers of network feature graphs in the last stage, constructing a hybrid high-order attention module according to the network feature graphs, and forming a high-order feature vector pool according to the hybrid high-order attention module, using each vector in the vector pool as a node, and utilizing semantic similarity among high-order features to form representative vector nodes in groups, and performing global pooling on the representative vector nodes to obtain classification vectors, and obtaining a fine-grained classification result through a fully connected layer and a classifier based on the classification vectors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.