DCEF2-YOLO: Aerial Detection YOLO with Deformable Convolution–Efficient Feature Fusion for Small Tar...
DCEF2-YOLO: Aerial Detection YOLO with Deformable Convolution–Efficient Feature Fusion for Small Target Detection
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Basel: MDPI AG
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English
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Basel: MDPI AG
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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...
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DCEF2-YOLO: Aerial Detection YOLO with Deformable Convolution–Efficient Feature Fusion for Small Target Detection
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TN_cdi_doaj_primary_oai_doaj_org_article_5d61a00dae5b4b9e9507962b9dbc44bb
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5d61a00dae5b4b9e9507962b9dbc44bb
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs16061071