Shinya Gongyo

Rethinking Asymmetric Quantization: Hidden Symmetry in Vision Model Weights

Post-training quantization (PTQ) enables rapid deployment of deep pretrained models. In the low-bit regime, recent PTQ methods for vision models adopt asymmetric quantization (AsymQ), introducing zero-point offsets to mitigate quantization errors. However, these offsets impose substantial hardware o