Cross-modal attention fusion network for RGB-D semantic segmentation-Reference-Cited by-同舟云学术

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Cross-modal attention fusion network for RGB-D semantic segmentation

Published:2023-09 Issue: Volume:548 Page:126389
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zhao Qiankun,Wan Yingcai,Xu Jiqian,Fang Lijin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference74 articles.

1. Efficient rgb-d semantic segmentation for indoor scene analysis;Seichter,2021

2. Trans4trans: Efficient transformer for transparent object segmentation to help visually impaired people navigate in the real world;Zhang,2021

3. Multi-stage context refinement network for semantic segmentation;Liu;Neurocomputing,2023

4. Lsnet: Real-time attention semantic segmentation network with linear complexity;Sheng;Neurocomputing,2022

5. L.-C. Chen, G. Papandreou, F. Schroff, H. Adam, Rethinking atrous convolution for semantic image segmentation, arXiv preprint arXiv:1706.05587 (2017).

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