A Novel Semantic Segmentation Algorithm for RGB-D Images Based on Non-Symmetry and Anti-Packing Pattern Representation Model
Author:
Affiliation:
1. School of Computer Science and Engineering, South China University of Technology, Guangzhou, China
2. General Organization of Remote Sensing, Damascus, Syria
Funder
Natural Science Foundation of Guangdong Province of China
National Natural Science Foundation of China
National Undergraduate Innovative and Entrepreneurial Training Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10098743.pdf?arnumber=10098743
Reference47 articles.
1. RedNet: Residual encoder–decoder network for indoor RGB-D semantic segmentation;jiang;arXiv 1806 01054,2018
2. ACNET: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation
3. Improved RGBD semantic segmentation using multi-scale features
4. FuseNet: Incorporating depth into semantic segmentation via fusion-based CNN architecture;hazirbas;Vision Computer,2016
5. ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
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