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This dataset is named MSBin which stands for MultiSpectral Document Binarization. The dataset is dedicated to the (document image) binarization of multispectral images. A ReadMe is contained within the dataset and also available here: ReadMe The dataset is introduced in: Fabian Hollaus, Simon Brenner, Robert Sablatnig: CNN Based Binarization of MultiSpectral Document Images. ICDAR 2019: 533-538
Note that this is the second version of the dataset, where 10 images are removed from the test set, because they were too varying from the training set. The results obtained on the first version can be found in [Hollaus et al. 2019]. Recent results are given in the ReadMe.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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