Hi. Thank you for the interesting works.
I'm confused about your implementation. In the paper, for training with your iterative character detection module, only the gt-word length is used. For the ICDAR2015 task 4.1 text localization, the single "word" gt is provided (accurate word or ###) in string form. But in your implementation, it uses lexicon, the candidate of the words! Is it fair for "localization (or detection) only " task ???
It is obvious that using lexicon actually enhances the detection result ! Or is there anything i missed ?
Thanks for reading.
Hi. Thank you for the interesting works.
I'm confused about your implementation. In the paper, for training with your iterative character detection module, only the gt-word length is used. For the ICDAR2015 task 4.1 text localization, the single "word" gt is provided (accurate word or ###) in string form. But in your implementation, it uses lexicon, the candidate of the words! Is it fair for "localization (or detection) only " task ???
It is obvious that using lexicon actually enhances the detection result ! Or is there anything i missed ?
Thanks for reading.