Weakly-Supervised Image Semantic Segmentation Based on Superpixel Region Merging
In this paper, we propose a semantic segmentation method based on superpixel region merging and convolutional neural network (CNN), referred to as regional merging neural network (RMNN). Image annotation has always been an important role in weakly-supervised semantic segmentation. Most methods use m...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
|
Series: | Big Data and Cognitive Computing |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-2289/3/2/31 |