Semantic combined network for zero‐shot scene parsing

Author:

Wang Yinduo1,Zhang Haofeng1ORCID,Wang Shidong2,Long Yang3,Yang Longzhi4

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and TechnologyNanjingPeople's Republic of China

2. School of Computing Sciences, University of East AngliaNorwichUK

3. Department of Computer ScienceDurham UniversityDurhamUK

4. Department of Computer and Information ScienceNorthumbria UniversityNewcastle upon TyneUK

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference42 articles.

1. Learning Hierarchical Features for Scene Labeling

2. 2014 European Conf. on Computer Vision Zürich Switzerland S.H. Khan M. Bennamoun F. Sohel Geometry driven semantic labeling of indoor scenes 679 694

3. Fully convolutional networks for semantic segmentation

4. 2017 IEEE Conf. on Computer Vision and Pattern Recognition Honolulu Hawaii USA H. Zhao J. Shi X. Qi Pyramid scene parsing network 2881 2890

5. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

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