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chore: update locked deps (#1239)
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Signed-off-by: Panos Vagenas <pva@zurich.ibm.com>
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Panos Vagenas
2025-03-25 15:48:02 +01:00
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tests/data/groundtruth/docling_v2/2203.01017v2.md
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@@ -51,6 +51,8 @@ To meet the design criteria listed above, we developed a new model called TableF
The paper is structured as follows. In Sec. 2, we give a brief overview of the current state-of-the-art. In Sec. 3, we describe the datasets on which we train. In Sec. 4, we introduce the TableFormer model-architecture and describe
$^{1}$https://github.com/IBM/SynthTabNet
its results &amp; performance in Sec. 5. As a conclusion, we describe how this new model-architecture can be re-purposed for other tasks in the computer-vision community.
## 2. Previous work and State of the Art
@@ -393,6 +395,8 @@ phan cell.
Aditional images with examples of TableFormer predictions and post-processing can be found below.
Figure 8: Example of a table with multi-line header.
Figure 9: Example of a table with big empty distance between cells.
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@@ -403,8 +407,12 @@ Figure 10: Example of a complex table with empty cells.
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Figure 11: Simple table with different style and empty cells.
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Figure 12: Simple table predictions and post processing.
Figure 13: Table predictions example on colorful table.
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@@ -425,6 +433,8 @@ Figure 15: Example with triangular table.
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Figure 16: Example of how post-processing helps to restore mis-aligned bounding boxes prediction artifact.
Figure 17: Example of long table. End-to-end example from initial PDF cells to prediction of bounding boxes, post processing and prediction of structure.
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