Convolutional neural networks based on multi-scale additive merging layers for visual smoke recognit...
Convolutional neural networks based on multi-scale additive merging layers for visual smoke recognition
About this item
Full title
Author / Creator
Yuan, Feiniu , Zhang, Lin , Wan, Boyang , Xia, Xue and Shi, Jinting
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
Traditional smoke recognition methods are mainly based on handcrafted features. However, it is difficult to design handcrafted features that are robust and discriminative for smoke recognition because of large variations in smoke color, shapes and textures. To solve this problem, we specifically design a basic block of convolutional neural networks...
Alternative Titles
Full title
Convolutional neural networks based on multi-scale additive merging layers for visual smoke recognition
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2194643684
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2194643684
Other Identifiers
ISSN
0932-8092
E-ISSN
1432-1769
DOI
10.1007/s00138-018-0990-3
