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...

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Bibliographic Details
Main Authors: Quanchun Jiang, Olamide Timothy Tawose, Songwen Pei, Xiaodong Chen, Linhua Jiang, Jiayao Wang, Dongfang Zhao
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Big Data and Cognitive Computing
Subjects:
CNN
Online Access:https://www.mdpi.com/2504-2289/3/2/31