Transformer co-attention for word segmentation in image data

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43965718" target="_blank" >RIV/49777513:23520/22:43965718 - isvavai.cz</a>
Výsledek na webu
<a href="http://hdl.handle.net/11025/48796" target="_blank" >http://hdl.handle.net/11025/48796</a>
DOI - Digital Object Identifier
—

Jazyk výsledku
angličtina
Název v původním jazyce
Transformer co-attention for word segmentation in image data
Popis výsledku v původním jazyce
Despite the huge progress in the past years, optical character recognition (OCR) of handwritten text is still a hard task. A prerequisite to it is extracting parts of the image that contain the text–line segmentation. In this work, wepresumethatlinesegmentationisavailable and are interested in splitting the lines into individual words – word segmentation. Such word segmentation can have many uses e.g. highlighting relevant words on the page when performing full text search or supplementing the full text search with search based on visual similarity between handwritten words.
Název v anglickém jazyce
Transformer co-attention for word segmentation in image data
Popis výsledku anglicky
Despite the huge progress in the past years, optical character recognition (OCR) of handwritten text is still a hard task. A prerequisite to it is extracting parts of the image that contain the text–line segmentation. In this work, wepresumethatlinesegmentationisavailable and are interested in splitting the lines into individual words – word segmentation. Such word segmentation can have many uses e.g. highlighting relevant words on the page when performing full text search or supplementing the full text search with search based on visual similarity between handwritten words.

Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Podobné výsledky(10)