Chien-Quang Le

Fast-Converging and Architecture-Agnostic 6-Bit Face Recognition via Gradient Coordination and Refined Data

Deploying face recognition models on resource-constrained Edge AI devices requires aggressive model compression, where low-bit quantization is a promising solution. However, extreme 6-bit (Q6) quantization often distorts the embedding space, severely degrading recognition performance. In this paper, we propose an archi...