Semantic Segmentation by Multi-Scale Feature Extraction Based on Grouped Dilated Convolution Module

Semantic Segmentation by Multi-Scale Feature Extraction Based on Grouped Dilated Convolution Module

Existing studies have shown that effective extraction of multi-scale information is a crucial factor directly related to the increase in performance of semantic segmentation. Accordingly, various methods for extracting multi-scale information have been developed. However, these methods face problems...

Full description

Bibliographic Details
Main Authors: Dong-Seop Kim, Yu-Hwan Kim, Kang-Ryoung Park
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Mathematics
Subjects:
semantic segmentation
pixel-level classification
grouped dilated convolution module
multi-scale context
Online Access:https://www.mdpi.com/2227-7390/9/9/947

Internet

https://www.mdpi.com/2227-7390/9/9/947

Similar Items