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Jia-Xuan Guo

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Open access Sep 2026

EnYOLO-World: Improved YOLOv9 and FiLM-Driven PAN for Object Detection

Tests on the COCO dataset show that EnYOLO-World offers a better trade-off between accuracy and speed compared to existing real-time detectors, demonstrating the value of optimizing both backbone feature retention and neck-level fusion strategies.

Ly Vireak Dara, Rong-Fang Wang, Jia-Xuan Guo · 0 citations

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