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Jia-Shuo Liang

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#edge computing Conference Sep 2026

RTMDet-AS: an improved real-time instance segmentation model for tomato harvesting based on attention mechanism and SIoU loss

RTMDet-AS is presented, a robust instance segmentation network tailored to address the challenges of cluttered backgrounds, dense fruit clusters, and the strict efficiencyaccuracy trade-off required for edge computing in unstructured greenhouses with a 96.7 FPS inference rate and fewer computational efforts.

Xuan-Bin Xu, Shi-Qi Zou, Jia-Shuo Liang et al. · 0 citations

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