Dataset Augmentation with Synthetic Images Improves Semantic Segmentation

4 Sep 2017Manik GoyalParam RajpuraHristo BojinovRavi Hegde

Although Deep Convolutional Neural Networks trained with strong pixel-level annotations have significantly pushed the performance in semantic segmentation, annotation efforts required for the creation of training data remains a roadblock for further improvements. We show that augmentation of the weakly annotated training dataset with synthetic images minimizes both the annotation efforts and also the cost of capturing images with sufficient variety... (read more)

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