Patent ID: 11871043
Assignee: TENCENT AMERICA LLC
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A method of three-dimensional (3D)-Tree coding for neural network model compression, the method being performed by at least one processor, and the method comprising:
reshaping a four-dimensional (4D) parameter tensor of a neural network into a 3D parameter tensor of the neural network, the 3D parameter tensor comprising a convolution kernel size, an input feature size, and an output feature size;
partitioning the 3D parameter tensor along a plane that is formed by the input feature size and the output feature size into 3D coding tree units (CTU3Ds);
partitioning each of the CTU3Ds into a plurality of 3D coding units (CU3Ds) recursively until a predetermined depth, using a quad-tree;
constructing a 3D-Unitree for each of the plurality of CU3Ds;
constructing a 3D-Tagtree for each of the plurality of CU3Ds;
based on a value of a parent node of the 3D-Unitree being zero, encoding a corresponding unified value and skipping scanning one or more child nodes; and
based on the value of the parent node of the 3D-Unitree being non-zero, encoding the value of the parent node of the 3D-Unitree with one of a corresponding Tagtree value or a difference in the corresponding Tagtree value between the parent node and the one or more child nodes.