update speed

pull/7137/head
WenmuZhou 2022-08-17 03:36:59 +00:00
parent 015cb7f08e
commit 6b6606fe3f
2 changed files with 4 additions and 4 deletions

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@ -33,8 +33,8 @@ 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|
| --- | --- | --- | ---|
| EDD<sup>[2]</sup> |x| 88.3 |x|
| TableRec-RARE(ours) |73.8%| 93.32 |1180ms|
| SLANet(ours) | 76.2%| 94.98 |590ms|
| TableRec-RARE(ours) |73.8%| 93.32 |1550ms|
| SLANet(ours) | 76.2%| 94.98 |766ms|
The performance indicators are explained as follows:
- Acc: The accuracy of the table structure in each image, a wrong token is considered an error.

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@ -39,8 +39,8 @@
|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|
| TableRec-RARE(ours) |73.8%| 93.32 |1180ms|
| SLANet(ours) | 76.2%| 94.98 |590ms|
| TableRec-RARE(ours) |73.8%| 93.32 |1550ms|
| SLANet(ours) | 76.2%| 94.98 |766ms|
性能指标解释如下:
- Acc: 模型对每张图像里表格结构的识别准确率错一个token就算错误。