PROBLEM TO BE SOLVED: To provide a computer system trained for creating label data of an area for an input image.SOLUTION: A source deconvolution network is adaptively trained for executing a semantic segmentation. After that, image data is input into a source deconvolution network (S-Net) and the output of the S-Net is measured. The image data and the measured output of the source deconvolution network are used to train a target deconvolution network. The target deconvolution network is substantially defined by a small number of numeric parameters by the source deconvolution network.SELECTED DRAWING: Figure 8
TRAINING OF RESTRICTED DECONVOLUTION NETWORK FOR SEMANTIC SEGMENTATION OF ROAD SCENE