Class-aware cross-domain target detection based on cityscape in fog
Class-aware cross-domain target detection based on cityscape in fog
About this item
Full title
Author / Creator
Gan, Linfeng , Liu, Hu , Chen, Aoran , Xu, Xibin and Zhang, Xuebiao
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
The semantic segmentation of unsupervised simulation to real-world adjustment (USRA) is designed to improve the training of simulation data in a real-world environment. In practical applications, such as robotic vision and autonomous driving, this could save the cost of manually annotating data. Regular USRA's are often assumed to include large sam...
Alternative Titles
Full title
Class-aware cross-domain target detection based on cityscape in fog
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2870573799
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2870573799
Other Identifiers
ISSN
0932-8092
E-ISSN
1432-1769
DOI
10.1007/s00138-023-01463-6
