Semantic Segmentation Using Super Resolution Technique as Pre-Processing
Chih-Chia Chen Wei-Han Chen Jen-Shiun Chiang Chun-Tse Chien Tingkai Chang
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.