Tag Archives: Adaptive Part-Level Model Knowledge Transfer for Gender Classification

Adaptive Part-Level Model Knowledge Transfer for Gender Classification

ABSTRACT: In this project, we propose an adaptive part-level model knowledge transfer approach for gender classification of facial images based on Fisher vector (FV). Specifically, we first decompose the whole face image into several parts and compute the dense FVs on each face part. An adaptive transfer learning model is then proposed to reduce the… Read More »