RAFNet: RGB-D attention feature fusion network for indoor semantic segmentation

Author:

Yan Xingchao,Hou Sujuan,Karim Awudu,Jia Weikuan

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Human-Computer Interaction

Reference44 articles.

1. L.C. Chen, G. Papandreou, I. Kokkinos, et al., Semantic image segmentation with deep convolutional nets and fully connected CRFs, arXiv preprint arXiv: 1412.7062, 2014.

2. F Yu, Koltun V. Multi-Scale Context Aggregation by Dilated Convolutions. arXiv preprint arXiv: 1511.07122, 2015.

3. J. Long, E. Shelhamer, T. Darrell, Fully convolutional networks for semantic segmentation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, 3431–3440.

4. H. Noh, S. Hong, B. Han, Learning deconvolution network for semantic segmentation, in: Proceedings of the IEEE International Conference on Computer Vision, 2015, 1520–1528.

5. Segnet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;Proc. IEEE Trans. Pattern Anal. Mach. Intell.,2017

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