Selective Scene Text Removal
Hayato Mitani (Kyushu University),* Akisato Kimura (NTT Corporation), Seiichi Uchida (Kyushu University)
The 34th British Machine Vision Conference
Abstract
Scene text removal (STR) is the image transformation task to remove text regions in scene images. The conventional STR methods remove all scene text. This means that the existing methods cannot select text to be removed. In this paper, we propose a novel task setting named selective scene text removal (SSTR) that removes only target words specified by the user. Although SSTR is a more complex task than STR, the proposed multi-module structure enables efficient training for SSTR. Experimental results show that the proposed method can remove target words as expected.Video
Citation
@inproceedings{Mitani_2023_BMVC,
author = {Hayato Mitani and Akisato Kimura and Seiichi Uchida},
title = {Selective Scene Text Removal},
booktitle = {34th British Machine Vision Conference 2023, {BMVC} 2023, Aberdeen, UK, November 20-24, 2023},
publisher = {BMVA},
year = {2023},
url = {https://papers.bmvc2023.org/0521.pdf}
}
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