Patent ID: 11928893
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 2:
3. The method according to claim 2, wherein the obtaining difference information between the original feature submaps of the target temporal frame and the original feature submaps of the next temporal frame on the convolutional channels comprises:
respectively transforming, by using a unit pooling layer, the original feature submaps of the target temporal frame on the convolutional channels into unit feature submaps of the target temporal frame, and the original feature submaps of the next temporal frame on the convolutional channels into unit feature submaps of the temporal frame;
respectively performing dimension reduction with a preset scaling factor on the unit feature submaps of the target temporal frame and the unit feature submaps of the next temporal frame to obtain dimension-reduced unit feature submaps of the target temporal frame and dimension-reduced unit feature submaps of the next temporal frame;
obtaining dimension-reduced difference information between the dimension-reduced unit feature submaps of the target temporal frame and the dimension-reduced unit feature submaps of the next temporal frame; and
performing dimension raising with the preset scaling factor on the dimension-reduced difference information to obtain the difference information between the original feature submaps of the target temporal frame and the original feature submaps of the next temporal frame on the convolutional channels.