Title:
TARGET DETECTION OPTIMIZATION METHOD AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/029824
Kind Code:
A1
Abstract:
Disclosed in the present disclosure are a target detection optimization method and device, which are used for avoiding introducing more model parameters and improving the accuracy of target detection, so as to ensure that the speed of target detection is not reduced. The method comprises: inputting an image, which contains an object, into a trained target detection model for detection, and determining the coordinates of the object in the image and the category of the object, wherein the target detection model contains a plurality of deep convolutional network layers, the target detection model is obtained by means of performing training by using a first training sample set, so as to obtain a model to be optimized, pruning, by using an optimal pruning scheme, model parameters in the model to be optimized, and training, by using a second training sample set, the model to be optimized that has been subjected to pruning, and the optimal pruning scheme is obtained by means of screening pruning schemes, which are determined according to different pruning methods and pruning rates.
More Like This:
Inventors:
ZU CHUNSHAN (CN)
HU WEIYANG (CN)
HU WEIYANG (CN)
Application Number:
PCT/CN2022/108189
Publication Date:
March 09, 2023
Filing Date:
July 27, 2022
Export Citation:
Assignee:
BOE TECHNOLOGY GROUP CO LTD (CN)
International Classes:
G06K9/00
Foreign References:
| CN113627389A | 2021-11-09 | |||
| CN113011588A | 2021-06-22 | |||
| CN111008640A | 2020-04-14 | |||
| CN112699958A | 2021-04-23 | |||
| US20200074247A1 | 2020-03-05 |
Attorney, Agent or Firm:
TDIP & PARTNERS (CN)
Download PDF: