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Open access Oct 2026

Generative data augmentation for industrial object classification on edge tensor processing units

An experimental study shows that a cross-class accuracy of 0.842 in mineral construction and demolition waste classification was achieved with generative data augmentation, with significant improvement compared to a CNN trained only with original data, confirming the feasibility of edge TPUs and the effectiveness of ge...

Zheng Liu, Chen Zhang, M. Rosenberger et al. · 0 citations

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