MS-AFF: a novel semantic segmentation approach for buried object based on multi-scale attentional feature fusion
Crossref DOI link: https://doi.org/10.1007/s11082-021-02952-6
Published Online: 2021-06-12
Published Print: 2021-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Lu, Chao
Chen, Fansheng
Su, Xiaofeng
Zeng, Dan https://orcid.org/0000-0003-1300-1769
Funding for this research was provided by:
Natural Science Foundation of China (61572307)
Text and Data Mining valid from 2021-06-01
Version of Record valid from 2021-06-01
Article History
Received: 31 January 2021
Accepted: 27 April 2021
First Online: 12 June 2021