no code implementations • 18 Jun 2021 • Tomoki Watanabe, Paolo Favaro
However, because the classifier might still make mistakes, especially at the beginning of the training, we also refine the labels through self-attention, by using the labeling of real data samples only when the classifier outputs a high classification probability score.
no code implementations • 6 Apr 2016 • German Ros, Simon Stent, Pablo F. Alcantarilla, Tomoki Watanabe
In this work we investigate the problem of road scene semantic segmentation using Deconvolutional Networks (DNs).