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

Claim 20:
21. The object detection apparatus according to claim 20, wherein the instructions further configure the one or more processor to:
perform 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;
perform a 2D convolution operation on the 3D convolution feature information sequentially by using the plurality of convolutional blocks in the 2D convolutional network;
fuse convolution features outputted by the convolutional blocks in the 2D convolutional network by using the fusion module to obtain the convolution feature set;
perform 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
predict the positioning offset information corresponding to the 3D voxel based on the regression network and the convolution feature set.