Difference between revisions of "Publications/chazalon.21.icdar.2"
From LRDE
(Created page with "{{Publication | published = true | date = 2020-05-17 | title = ICDAR 2021 Competition on Historical Map Segmentation | authors = Joseph Chazalon, Edwin Carlinet, Yizi Chen, Ju...") |
|||
Line 12: | Line 12: | ||
| lrdekeywords = Image |
| lrdekeywords = Image |
||
| lrdenewsdate = 2020-05-17 |
| lrdenewsdate = 2020-05-17 |
||
+ | | note = To appear |
||
| type = inproceedings |
| type = inproceedings |
||
| id = chazalon.21.icdar.2 |
| id = chazalon.21.icdar.2 |
||
Line 46: | Line 47: | ||
with complex content. Dataset, evaluation tools and results |
with complex content. Dataset, evaluation tools and results |
||
are available under permissive licensing at |
are available under permissive licensing at |
||
− | \url<nowiki>{</nowiki>https://icdar21-mapseg.github.io/<nowiki>}</nowiki>.<nowiki>}</nowiki> |
+ | \url<nowiki>{</nowiki>https://icdar21-mapseg.github.io/<nowiki>}</nowiki>.<nowiki>}</nowiki>, |
+ | note = <nowiki>{</nowiki>To appear<nowiki>}</nowiki> |
||
<nowiki>}</nowiki> |
<nowiki>}</nowiki> |
||
Revision as of 19:19, 21 May 2021
- Authors
- Joseph Chazalon, Edwin Carlinet, Yizi Chen, Julien Perret, Bertrand Duménieu, Clément Mallet, Thierry Géraud
- Where
- Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR'21)
- Place
- Lausanne, Switzerland
- Type
- inproceedings
- Projects
- Olena
- Keywords
- Image
- Date
- 2020-05-17
Abstract
This paper presents the final results of the ICDAR 2021 Competition on Historical Map Segmentation (MapSeg)encouraging research on a series of historical atlases of Paris, France, drawn at 1/5000 scale between 1894 and 1937. The competition featured three tasks, awarded separately. Task 1 consists in detecting building blocks and was won by the L3IRIS team using a DenseNet-121 network trained in a weakly supervised fashion. This task is evaluated on 3 large images containing hundreds of shapes to detect. Task 2 consists in segmenting map content from the larger map sheet, and was won by the UWB team using a U-Net-like FCN combined with a binarization method to increase detection edge accuracy. Task 3 consists in locating intersection points of geo-referencing lines, and was also won by the UWB team who used a dedicated pipeline combining binarization, line detection with Hough transform, candidate filtering, and template matching for intersection refinement. Tasks 2 and 3 are evaluated on 95 map sheets with complex content. Dataset, evaluation tools and results are available under permissive licensing at https://icdar21-mapseg.github.io/.
Documents
Bibtex (lrde.bib)
@InProceedings{ chazalon.21.icdar.2, title = {ICDAR 2021 Competition on Historical Map Segmentation}, author = {Joseph Chazalon and Edwin Carlinet and Yizi Chen and Julien Perret and Bertrand Dum\'enieu and Cl\'ement Mallet and Thierry G\'eraud}, booktitle = {Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR'21)}, year = {2021}, month = sep, pages = {}, address = {Lausanne, Switzerland}, abstract = {This paper presents the final results of the ICDAR 2021 Competition on Historical Map Segmentation (MapSeg), encouraging research on a series of historical atlases of Paris, France, drawn at 1/5000 scale between 1894 and 1937. The competition featured three tasks, awarded separately. Task~1 consists in detecting building blocks and was won by the L3IRIS team using a DenseNet-121 network trained in a weakly supervised fashion. This task is evaluated on 3 large images containing hundreds of shapes to detect. Task~2 consists in segmenting map content from the larger map sheet, and was won by the UWB team using a U-Net-like FCN combined with a binarization method to increase detection edge accuracy. Task~3 consists in locating intersection points of geo-referencing lines, and was also won by the UWB team who used a dedicated pipeline combining binarization, line detection with Hough transform, candidate filtering, and template matching for intersection refinement. Tasks~2 and~3 are evaluated on 95 map sheets with complex content. Dataset, evaluation tools and results are available under permissive licensing at \url{https://icdar21-mapseg.github.io/}.}, note = {To appear} }