Systems and methods for detecting small objects in an image using a neural network
US12080054B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 8, 2022 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | Mar 2, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/42
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed herein are systems and method for detecting small objects in an image using a neural network (NN). An exemplary method may include: receiving a first NN that is trained on a dataset including a plurality of images depicting various objects; identifying a first structure of the first NN, the first structure indicative of each layer and layer size in the first NN; determining, based on the first structure, whether the first NN can classify an object less than a threshold size in an input image; in response to determining that the first NN cannot classify the object, identifying a subset of detection layers in the first NN; generating and training a second NN that has a second structure in which the subset of detection layers are replaced by at least one layer not in the subset; and receiving, from the second NN, a classification of the object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.