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Curriculum learning procedure for domain adaptation in semantic segmentation.

Curriculum learning procedure for domain adaptation in semantic segmentation.

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Pixel-wise image segmentation is key for many Computer Vision applications. The training of deep neural networks for this task has expensive pixel-level annotation requirements, thus, motivating a growing interest on synthetic data to provide unlimited data and its annotations. In this paper, we focus on the generation and application of synthetic...