Patent ID: 11915501
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. The object detection method according to claim 1, wherein the performing a convolution operation on the feature information further comprises:
performing the 3D convolution operation on the feature information of the 3D voxel by using a 3D convolutional network in a region proposal network (RPN), to obtain 3D convolution feature information of the 3D voxel, the RPN further comprising a two-dimensional (2D) convolutional network connected to the 3D convolutional network, a fusion module, and a classification network and a regression network that are connected to the fusion module, the 2D convolutional network comprising a plurality of convolutional blocks sequentially connected;
performing, sequentially, a 2D convolution operation on the 3D convolution feature information by using the plurality of convolutional blocks in the 2D convolutional network; and
fusing convolution features outputted by the convolutional blocks in the 2D convolutional network by using the fusion module to obtain the convolution feature set; and
the predicting positioning offset information and an object category corresponding to the 3D voxel based on the convolution feature set comprises:
performing object classification on the 3D voxel based on the classification network and the convolution feature set to obtain the object category corresponding to the 3D voxel; and
predicting the positioning offset information corresponding to the 3D voxel based on the regression network and the convolution feature set.