Sourav Babu-PK

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...