SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-Labels

Martin Kišš, Michal Hradiš, Karel Beneš +2

This paper explores semi-supervised training for sequence tasks, such as Optical Character Recognition or Automatic Speech Recognition. We propose a novel loss function $\unicode{x…