Semantic Segmentation Using Super Resolution Technique as Pre-Processing

06/27/2023

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by   Chih-Chia Chen, et al.

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Combining high-level and low-level visual tasks is a common technique in the field of computer vision. This work integrates the technique of image super resolution to semantic segmentation for document image binarization. It demonstrates that using image super-resolution as a preprocessing step can effectively enhance the results and performance of semantic segmentation.