Search Results for author: Tomoki Watanabe

Found 2 papers, 0 papers with code

A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention

no code implementations18 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.

Generative Adversarial Network

Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation

no code implementations6 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).

Semantic Segmentation

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