Patent ID: 11893708
Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. The method according to claim 4, wherein the each of the non-head overlapping encoding sub-networks comprises a high-resolution encoding convolutional layer and a low-resolution encoding convolutional layer; wherein the high-resolution encoding convolutional layer comprises a high-resolution encoding feature extraction unit and a high-resolution encoding feature fusion unit; and the low-resolution encoding convolutional layer comprises a low-resolution encoding feature extraction unit and a low-resolution encoding feature fusion unit;
the high-resolution encoding feature extraction unit performs feature extraction on input data of the high-resolution encoding feature extraction unit to obtain a high-resolution encoding feature;
the low-resolution encoding feature extraction unit performs feature extraction on input data of the low-resolution encoding feature extraction unit to obtain a low-resolution encoding feature;
the high-resolution encoding feature fusion unit performs feature fusion on an upsampling result of the low-resolution encoding feature and the high-resolution encoding feature to obtain output data of the high-resolution encoding feature fusion unit, wherein the upsampling result has a same resolution as the high-resolution encoding feature; and
the low-resolution encoding feature fusion unit performs feature fusion on a downsampling result of the high-resolution encoding feature and the low-resolution encoding feature to obtain output data of the low-resolution encoding feature fusion unit, wherein the downsampling result has a same resolution as the low-resolution encoding feature.