Author

V. Raju

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Preprint Aug 2026

Achieving Near-Zero-Overhead Multi-Model Hierarchical Classification in Real-Time Detection Pipelines

This work presents a five-step methodology for zero GPU fallback DLA INT8 deployment of classification backbones, comprising architecture adaptation, manual dynamic range workaround to rescue TensorRT's implicit quantization, and generalizes to any detection-classification edge pipeline.

V. Raju · 0 citations