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

Claim 8:
9. The method according to claim 8, wherein the each of the non-tail overlapping decoding sub-networks comprises a high-resolution decoding convolutional layer and a low-resolution decoding convolutional layer; wherein the high-resolution decoding convolutional layer comprises a high-resolution decoding feature reconstruction unit and a high-resolution decoding feature fusion unit; and the low-resolution decoding convolutional layer comprises a low-resolution decoding feature reconstruction unit and a low-resolution decoding feature fusion unit;
the high-resolution decoding feature reconstruction unit performs feature reconstruction on input data of the high-resolution decoding feature reconstruction unit to obtain a high-resolution decoding feature;
the low-resolution decoding feature reconstruction unit performs feature reconstruction on input data of the low-resolution decoding feature reconstruction unit to obtain a low-resolution decoding feature;
the high-resolution decoding feature fusion unit performs feature fusion on an upsampling result of the low-resolution decoding feature and the high-resolution decoding feature to obtain output data of the high-resolution decoding feature fusion unit, wherein the upsampling result has a same resolution as the high-resolution decoding feature; and
the low-resolution decoding feature fusion unit performs feature fusion on a downsampling result of the high-resolution decoding feature and the low-resolution decoding feature to obtain output data of the low-resolution decoding feature fusion unit, wherein the downsampling result has a same resolution as the low-resolution decoding feature.