The introduced model outperformed the custom model by gains in convergence and accuracy from 0.94 to 0.99, which is highly significant in the object recognition and classification domain.
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A Unified Efficient Deep Learning Architecture for Rapid Safety Objects Classification Using Normalized Quantization-Aware Learning.
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