Could you please explain what data is needed for training the SPM in the paper? The supplementary materials mention datasets including CI: Corrupted Images, II: Intact Images, CM: Corrupted Masks, ISM: Intact Segmentation Masks, CSM: Corrupted Segmentation Masks, IG: Intact Glyphs, and CC: Character Coordinates. However, the train_spm config only loads two types of images. Which two should be used? Should it be CI: Corrupted Images and II: Intact Images, or CI: Corrupted Images and ISM: Intact Segmentation Masks?
we offer diverse information for the subsequent in-depth research. In this study, we solely utilized Corrupted Images (as input) and Intact Segmentation Masks (as output) for the training of SPM.
Could you please explain what data is needed for training the SPM in the paper? The supplementary materials mention datasets including CI: Corrupted Images, II: Intact Images, CM: Corrupted Masks, ISM: Intact Segmentation Masks, CSM: Corrupted Segmentation Masks, IG: Intact Glyphs, and CC: Character Coordinates. However, the train_spm config only loads two types of images. Which two should be used? Should it be CI: Corrupted Images and II: Intact Images, or CI: Corrupted Images and ISM: Intact Segmentation Masks?