Impact of the ground truth quality for handwriting recognition

Author:

Jungo Michael1ORCID,Vögtlin Lars2ORCID,Fakhari Atefeh2ORCID,Wegmann Nathan2ORCID,Ingold Rolf2ORCID,Fischer Andreas1ORCID,Scius-Bertrand Anna1ORCID

Affiliation:

1. University of Applied Sciences and Arts Western Switzerland, Switzerland

2. University of Fribourg, Switzerland

Publisher

ACM

Reference29 articles.

1. [n. d.]. Bullinger Digital. https://www.bullinger-digital.ch/ Accessed on 18.09.2023. [n. d.]. Bullinger Digital. https://www.bullinger-digital.ch/ Accessed on 18.09.2023.

2. Quantifying the Effects of Ground Truth Annotation Quality on Object Detection and Instance Segmentation Performance

3. Labeling, Cutting, Grouping: An Efficient Text Line Segmentation Method for Medieval Manuscripts

4. José Andrés , Alejandro  H Toselli , and Enrique Vidal . 2023 . Search for Hyphenated Words in Probabilistic Indices: A Machine Learning Approach. In International Conference on Document Analysis and Recognition. Springer, 269–285 . José Andrés, Alejandro H Toselli, and Enrique Vidal. 2023. Search for Hyphenated Words in Probabilistic Indices: A Machine Learning Approach. In International Conference on Document Analysis and Recognition. Springer, 269–285.

5. Hangbo Bao , Li Dong , Songhao Piao , and Furu Wei . 2021 . Beit: Bert pre-training of image transformers . ICLR 2021 (2021). Hangbo Bao, Li Dong, Songhao Piao, and Furu Wei. 2021. Beit: Bert pre-training of image transformers. ICLR 2021 (2021).

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