Automatic modeling method and device for object detection model
US12211258B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2019 |
| Grant date | Jan 28, 2025 |
| Priority date | — |
| Expiry date | Jan 6, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An automatic modeling method for object detection model, the method includes: S1, searching for an NAS network model according to a predetermined first neural network; S2, training a first object detection model by using a training set, evaluating the current first object detection model by using a validation set after a number of training times reaches a first preset number of times, and outputting an evaluation result, wherein the first object detection model is a model obtained by detection part fusion of the NAS network model and a second object detection model; S3, calculating a reward corresponding to the current first object detection model; S4, adjusting parameters used for searching for the NAS network model according to the reward: repeating the steps S1-S4 for a second preset number of times, and determining an optimal first object detection model according to the evaluation result. Further disclosed in the present invention is an automatic modeling device. The method and device provided by the present invention can search for different models according to different tasks, and improve an object detection effect.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.