DCEF[sup.2]-YOLO: Aerial Detection YOLO with Deformable Convolution–Efficient Feature Fusion for Sma...
DCEF[sup.2]-YOLO: Aerial Detection YOLO with Deformable Convolution–Efficient Feature Fusion for Small Target Detection
About this item
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Author / Creator
Publisher
MDPI AG
Journal title
Language
English
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Publisher
MDPI AG
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Scope and Contents
Contents
Deep learning technology for real-time small object detection in aerial images can be used in various industrial environments such as real-time traffic surveillance and military reconnaissance. However, detecting small objects with few pixels and low resolution remains a challenging problem that requires performance improvement. To improve the perf...
Alternative Titles
Full title
DCEF[sup.2]-YOLO: Aerial Detection YOLO with Deformable Convolution–Efficient Feature Fusion for Small Target Detection
Authors, Artists and Contributors
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Record Identifier
TN_cdi_gale_infotracmisc_A788253376
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracmisc_A788253376
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs16061071
