Author

Varadhraj Ellapan

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Preprint Sep 2026

SCULPT: Training Edge Vision Models for Post-Training Quantization Readiness

Edge vision models are difficult to deploy on resource-constrained hardware, making low-bit post-training quantization (PTQ) attractive. In practice, standard FP32 training often produces heavy-tailed activation distributions whose outliers destabilize activation quantization: preserving the full range wastes quantizat...

Bharadwaj Kavuri, Sourav Babu-PK, Varadhraj Ellapan et al. · 0 citations