Patent ID: 11875511
Assignee: BEIJING TUSEN ZHITU TECHNOLOGY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. An apparatus for semantic segmentation of an image comprising a processor configured to:
receive the image;
perform semantic segmentation on the image to obtain an initial semantic segmentation result, wherein the initial semantic segmentation result has, for each pixel in the image, each of predefined category labels that the pixel belongs to;
obtain a final semantic segmentation from the initial semantic segmentation result using a convolutional neural network in which a modified semantic segmentation result is iteratively determined until an iteration condition is met;
input the initial semantic segmentation result and at least one mode corresponding to the image to the convolutional neural network to output the modified semantic segmentation result,
wherein the modified semantic segmentation result has, for each pixel in the image, a determined category label that the pixel belongs to, and
wherein the convolutional neural network is pre-trained with sample image information, and wherein the sample image information contains: a first mode, one of predefined category labels that each pixel in a first sample image corresponding to the first mode belongs to, a second mode different from the first mode, and one of predefined category labels that each pixel in a second sample image corresponding to the second mode belongs to.