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1 Ergebnisse
1
An Attention-Based End-to-End Model for Multiple Text Lines..:
, In:
2019 International Conference on Document Analysis and Recognition (ICDAR)
,
Ly, Nam Tuan
;
Nguyen, Cuong Tuan
;
Nakagawa, Masaki
- p. 629-634 , 2019
Link:
https://doi.org/10.1109/ICDAR.2019.00106
RT T1
2019 International Conference on Document Analysis and Recognition (ICDAR)
: T1
An Attention-Based End-to-End Model for Multiple Text Lines Recognition in Japanese Historical Documents
UL https://suche.suub.uni-bremen.de/peid=ieee-8978049&Exemplar=1&LAN=DE A1 Ly, Nam Tuan A1 Nguyen, Cuong Tuan A1 Nakagawa, Masaki YR 2019 SN 2379-2140 K1 Feature extraction K1 Text recognition K1 Decoding K1 Image recognition K1 Task analysis K1 Mathematical model K1 Training K1 attention mechanism, sequence to sequence, residual connections, historical documents, multiple text lines recognition SP 629 OP 634 LK http://dx.doi.org/https://doi.org/10.1109/ICDAR.2019.00106 DO https://doi.org/10.1109/ICDAR.2019.00106 SF ELIB - SuUB Bremen
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