Learning Soft Mask Based Feature Fusion with Channel and Spatial Attention for Robust Visual Object...
Learning Soft Mask Based Feature Fusion with Channel and Spatial Attention for Robust Visual Object Tracking
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
We propose to improve the visual object tracking by introducing a soft mask based low-level feature fusion technique. The proposed technique is further strengthened by integrating channel and spatial attention mechanisms. The proposed approach is integrated within a Siamese framework to demonstrate its effectiveness for visual object tracking. The...
Alternative Titles
Full title
Learning Soft Mask Based Feature Fusion with Channel and Spatial Attention for Robust Visual Object Tracking
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_2007a112c06445ebac3e36c69a0440b9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2007a112c06445ebac3e36c69a0440b9
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s20144021
