APPARATUS AND METHOD FOR SEMANTIC SEGMENTATION WITH CONVOLUTIONAL NEURAL NETWORK

摘要

Systems, methods and apparatus are provided for sematic segmentation with convolutional neural networks. A system comprises a first encoder-decoder network, which is configured to perform a plurality of layers of convolution on a raw data material to generate a first set of feature maps. The system further comprises a group of middle encoder-decoder networks cascaded with the first encoder-decoder network. The group of middle encoder-decoder networks is configured to perform a plurality of layers of convolution on the first set of feature maps to generate a second set of feature maps for classifying objects of the raw data material.