SOTAVerified

Low-Cost Transfer Learning of Face Tasks

2019-01-09Code Available0· sign in to hype

Thrupthi Ann John, Isha Dua, Vineeth N. Balasubramanian, C. V. Jawahar

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

Do we know what the different filters of a face network represent? Can we use this filter information to train other tasks without transfer learning? For instance, can age, head pose, emotion and other face related tasks be learned from face recognition network without transfer learning? Understanding the role of these filters allows us to transfer knowledge across tasks and take advantage of large data sets in related tasks. Given a pretrained network, we can infer which tasks the network generalizes for and the best way to transfer the information to a new task.

Tasks

Reproductions