diff --git a/ppstructure/table/README.md b/ppstructure/table/README.md index bcc9f4fffa..f4eff868d2 100644 --- a/ppstructure/table/README.md +++ b/ppstructure/table/README.md @@ -33,8 +33,8 @@ We evaluated the algorithm on the PubTabNet[1] eval dataset, and the |Method|Acc|[TEDS(Tree-Edit-Distance-based Similarity)](https://github.com/ibm-aur-nlp/PubTabNet/tree/master/src)|Speed| | --- | --- | --- | ---| | EDD[2] |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. diff --git a/ppstructure/table/README_ch.md b/ppstructure/table/README_ch.md index 7ca85bde24..badabc7992 100644 --- a/ppstructure/table/README_ch.md +++ b/ppstructure/table/README_ch.md @@ -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[2] |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。