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提交 f6ba46b3 编写于 作者: 文幕地方's avatar 文幕地方
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ppstructure/table/README.md
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...@@ -33,7 +33,7 @@ We evaluated the algorithm on the PubTabNet<sup>[1]</sup> eval dataset, and the ...@@ -33,7 +33,7 @@ We evaluated the algorithm on the PubTabNet<sup>[1]</sup> eval dataset, and the
|Method|Acc|[TEDS(Tree-Edit-Distance-based Similarity)](https://github.com/ibm-aur-nlp/PubTabNet/tree/master/src)|Speed| |Method|Acc|[TEDS(Tree-Edit-Distance-based Similarity)](https://github.com/ibm-aur-nlp/PubTabNet/tree/master/src)|Speed|
| --- | --- | --- | ---| | --- | --- | --- | ---|
| EDD<sup>[2]</sup> |x| 88.3 |x| | EDD<sup>[2]</sup> |x| 88.3 |x|
| TableRec-RARE(ours) |73.8%| 95.3% |1550ms| | TableRec-RARE(ours) | 71.73%| 93.88% |779ms|
| SLANet(ours) | 76.2%| 95.85% |766ms| | SLANet(ours) | 76.2%| 95.85% |766ms|
The performance indicators are explained as follows: The performance indicators are explained as follows:
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ppstructure/table/README_ch.md
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...@@ -39,7 +39,7 @@ ...@@ -39,7 +39,7 @@
|算法|Acc|[TEDS(Tree-Edit-Distance-based Similarity)](https://github.com/ibm-aur-nlp/PubTabNet/tree/master/src)|Speed| |算法|Acc|[TEDS(Tree-Edit-Distance-based Similarity)](https://github.com/ibm-aur-nlp/PubTabNet/tree/master/src)|Speed|
| --- | --- | --- | ---| | --- | --- | --- | ---|
| EDD<sup>[2]</sup> |x| 88.3% |x| | EDD<sup>[2]</sup> |x| 88.3% |x|
| TableRec-RARE(ours) |73.8%| 95.3% |1550ms| | TableRec-RARE(ours) | 71.73%| 93.88% |779ms|
| SLANet(ours) | 76.2%| 95.85% |766ms| | SLANet(ours) | 76.2%| 95.85% |766ms|
性能指标解释如下： 性能指标解释如下：
......
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