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EFI-YOLO: An enhanced framework for industrial object detection
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AI
DOI：10.1016/j.jvcir.2026.104796.png)
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Abstract
En 中文
• The DWR module improves C2F, enhancing gradient flow and feature extraction in the backbone. • Slim-neck with GSConv/VoVGSCSP balances accuracy, speed, and reduces parameters. • DySample strengthens information recovery, improving detection performance. • Experiments on six datasets validate the effectiveness of EFI-YOLO.
Keywords:
DWR module
Slim-neck
GSConv
DySample
EFI-YOLO
Journal
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3.1
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414
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