ICDAR 2021 Competition on Historical Map Segmentation

Author:

Chazalon JosephORCID,Carlinet EdwinORCID,Chen YiziORCID,Perret JulienORCID,Duménieu BertrandORCID,Mallet ClémentORCID,Géraud ThierryORCID,Nguyen VincentORCID,Nguyen Nam,Baloun JosefORCID,Lenc LadislavORCID,Král PavelORCID

Publisher

Springer International Publishing

Reference14 articles.

1. Baloun, J., Král, P., Lenc, L.: ChronSeg: novel dataset for segmentation of handwritten historical chronicles. In: Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART), pp. 314–322 (2021)

2. Bloice, M.D., Roth, P.M., Holzinger, A.: Biomedical image augmentation using Augmentor. Bioinformatics 35(21), 4522–4524 (2019)

3. Blusseau, S., Velasco-Forero, S., Angulo, J., Bloch, I.: Tropical and morphological operators for signal processing on graphs. In: Proceedings of the 25th IEEE International Conference on Image Processing (ICIP), pp. 1198–1202 (2018)

4. Chazalon, J., Carlinet, E.: Revisiting the coco panoptic metric to enable visual and qualitative analysis of historical map instance segmentation. In: 16th International Conference on Document Analysis and Recognition (ICDAR) (2021, to appear)

5. Grandvalet, Y., Bengio, Y.: Semi-supervised learning by entropy minimization. In: Proceedings of the 17th International Conference on Neural Information Processing Systems (NIPS), pp. 529–536 (2004)

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