A review on image semantic segmentation based on DCNN
WEI Yunchao
ZHAO Yao
Abstract：Image semantic segmentation is one of the most important problems in computer vision, whose target is to assign a semantic label for each pixel of a given image and segment the image into several visually meaningful or interest regions,in order for the image analysis and vision un-derstanding .In recent years,tremendous progress has been made for semantic segmentation due to the development of deep convolutional neural network (DCNN).In this paper,we firstly dis-cuss the difficulties and challenges of semantic segmentation.Then,DCNN-based achievements in the study of semantic segmentation are reviewed.In addition,an analysis for semantic segmen-tation based on PASCAL VOC dataset is given,which is generally acknowledged as a popular public evaluation for semantic segmentation.Finally,some probable development directions of semantic segmentation are discussed.
Keywords：image semantic segmentationdeep learningdeep convolutional neural network
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：10( 82-91 )