Patent ID: 11941838
Assignee: SENSETIME INTERNATIONAL PTE. LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. The method of claim 1, wherein
detecting the first object, the second object, and the third object in the target image comprises:
detecting the first object, the second object, and the third object involved in the target image with a target object detecting model;

predicting the correlation between the first object and the second object based on the region corresponding to the joint bounding box in the target image comprises:
predicting the correlation between the first object and the second object based on the region corresponding to the joint bounding box in the target image with a correlation predicting model;

wherein the target object detecting model and the correlation predicting model are trained by:
training the target object detecting model based on a first training sample set which comprises a plurality of training samples with respective first label information, wherein the first label information comprises respective bounding boxes of a first object, a second object, and a third object; and
jointly training the target object detecting model and the correlation predicting model based on a second training sample set which comprises a plurality of training samples with respective second label information, wherein the second label information comprises respective bounding boxes of a first object, a second object, and a third object, and respective label information on correlations between first objects and second objects.