review docs (#4022)

docs/module_usage/tutorials/ocr_modules/layout_detection.en.md

@@ -34,6 +34,33 @@ The core task of structure analysis is to parse and segment the content of input
 </tbody>
 </table>
 
+
+* <b>The layout detection model includes 1 category: Block:</b>
+<table>
+<thead>
+<tr>
+<th>Model</th><th>Model Download Link</th>
+<th>mAP(0.5) (%)</th>
+<th>GPU Inference Time (ms)<br/>[Normal Mode / High-Performance Mode]</th>
+<th>CPU Inference Time (ms)<br/>[Normal Mode / High-Performance Mode]</th>
+<th>Model Storage Size (M)</th>
+<th>Introduction</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>PP-DocBlockLayout</td><td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocBlockLayout_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-DocBlockLayout_pretrained.pdparams">Training Model</a></td>
+<td>95.9</td>
+<td>34.6244 / 10.3945</td>
+<td>510.57 / - </td>
+<td>123.92 M</td>
+<td>A layout block localization model trained on a self-built dataset containing Chinese and English papers, PPT, multi-layout magazines, contracts, books, exams, ancient books and research reports using RT-DETR-L</td>
+</tr>
+<tr>
+</tbody>
+</table>
+
+
 * <b>The layout detection model includes 23 common categories: document title, paragraph title, text, page number, abstract, table of contents, references, footnotes, header, footer, algorithm, formula, formula number, image, figure caption, table, table caption, seal, figure title, figure, header image, footer image, and sidebar text</b>
 <table>
 <thead>

docs/module_usage/tutorials/ocr_modules/layout_detection.md

@@ -36,6 +36,33 @@ comments: true
 
 <b>注：以上精度指标的评估集是自建的版面区域检测数据集，包含中英文论文、杂志、报纸、研报、PPT、试卷、课本等 1300 张文档类型图片。</b>
 
+* <b>文档图像版面子模块检测，包含1个 版面区域 类别，能检测多栏的报纸、杂志的每个子文章的文本区域：</b>
+<table>
+<thead>
+<tr>
+<th>模型</th><th>模型下载链接</th>
+<th>mAP(0.5)（%）</th>
+<th>GPU推理耗时（ms）<br/>[常规模式 / 高性能模式]</th>
+<th>CPU推理耗时（ms）<br/>[常规模式 / 高性能模式]</th>
+<th>模型存储大小（M）</th>
+<th>介绍</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>PP-DocBlockLayout</td><td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocBlockLayout_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-DocBlockLayout_pretrained.pdparams">训练模型</a></td>
+<td>95.9</td>
+<td>34.6244 / 10.3945</td>
+<td>510.57 / - </td>
+<td>123.92 M</td>
+<td>基于RT-DETR-L在包含中英文论文、多栏杂志、报纸、PPT、合同、书本、试卷、研报、古籍、日文文档、竖版文字文档等场景的自建数据集训练的文档图像版面子模块检测模型</td>
+</tr>
+<tr>
+</tbody>
+</table>
+
+<b>注：以上精度指标的评估集是自建的版面子区域检测数据集，包含中英文论文、杂志、报纸、研报、PPT、试卷、课本等 1000 张文档类型图片。</b>
+
 * <b>版面检测模型，包含23个常见的类别：文档标题、段落标题、文本、页码、摘要、目录、参考文献、脚注、页眉、页脚、算法、公式、公式编号、图像、图表标题、表格、表格标题、印章、图表标题、图表、页眉图像、页脚图像、侧栏文本</b>
 <table>
 <thead>
@@ -76,8 +103,9 @@ comments: true
 </tbody>
 </table>
 
+<b>注：以上精度指标的评估集是自建的版面区域检测数据集，包含中英文论文、报纸、研报和试卷等 500 张文档类型图片。</b>
 
-> ❗ 以上列出的是版面检测模块重点支持的<b>4个核心模型</b>，该模块总共支持<b>12个全量模型</b>，包含多个预定义了不同类别的模型，完整的模型列表如下：
+> ❗ 以上列出的是版面检测模块重点支持的<b>5个核心模型</b>，该模块总共支持<b>13个全量模型</b>，包含多个预定义了不同类别的模型，完整的模型列表如下：
 
 <details><summary> 👉模型列表详情</summary>
 

docs/module_usage/tutorials/time_series_modules/time_series_anomaly_detection.en.md

@@ -140,7 +140,7 @@ The meanings of the parameters in the running result are as follows:
 
 Relevant methods, parameters, and explanations are as follows:
 
-* `create_model` instantiates a time-series anomaly detection model (here, `TimesNet_cls` is used as an example). The detailed explanation is as follows:
+* `create_model` instantiates a time-series anomaly detection model (here, `AutoEncoder_ad` is used as an example). The detailed explanation is as follows:
 <table>
 <thead>
 <tr>

docs/pipeline_usage/tutorials/time_series_pipelines/time_series_anomaly_detection.en.md

@@ -50,13 +50,6 @@ Time series anomaly detection is a technique for identifying abnormal patterns o
 <td>94.57</td>
 <td>320K</td>
 </tr>
-<tr>
-<td>TimesNet_ad</td><td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/TimesNet_ad_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/TimesNet_ad_pretrained.pdparams">Training Model</a></td>
-<td>98.37</td>
-<td>94.80</td>
-<td>96.56</td>
-<td>1.3M</td>
-</tr>
 </tbody>
 </table>
 

docs/support_list/model_list_npu.en.md

@@ -1348,13 +1348,6 @@ PaddleX incorporates multiple pipelines, each containing several modules, and ea
 <td>94.57</td>
 <td>320K</td>
 <td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PatchTST_ad_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PatchTST_ad_pretrained.pdparams">Training Model</a></td></tr>
-<tr>
-<td>TimesNet_ad</td>
-<td>98.37</td>
-<td>94.80</td>
-<td>96.56</td>
-<td>1.3M</td>
-<td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/TimesNet_ad_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/TimesNet_ad_pretrained.pdparams">Training Model</a></td></tr>
 </tbody>
 </table>
 <b>Note: The above accuracy metrics are measured on the [PSM](https://paddle-model-ecology.bj.bcebos.com/paddlex/data/ts_anomaly_examples.tar) dataset.</b>

docs/support_list/model_list_npu.md

@@ -1349,13 +1349,6 @@ PaddleX 内置了多条产线，每条产线都包含了若干模块，每个模
 <td>94.57</td>
 <td>320K</td>
 <td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PatchTST_ad_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PatchTST_ad_pretrained.pdparams">训练模型</a></td></tr>
-<tr>
-<td>TimesNet_ad</td>
-<td>98.37</td>
-<td>94.80</td>
-<td>96.56</td>
-<td>1.3M</td>
-<td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/TimesNet_ad_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/TimesNet_ad_pretrained.pdparams">训练模型</a></td></tr>
 </tbody>
 </table>
 <b>注：以上精度指标测量自</b>[PSM](https://paddle-model-ecology.bj.bcebos.com/paddlex/data/ts_anomaly_examples.tar)<b>数据集。</b>

docs/support_list/models_list.en.md

@@ -2616,7 +2616,7 @@ PaddleX includes multiple pipelines, each containing several modules, and each m
 
 <b>Note: The evaluation set for the accuracy metrics mentioned above is a custom-built layout detection dataset, which includes 1,300 document-type images such as Chinese and English papers, magazines, newspapers, research reports, PPTs, exam papers, and textbooks.</b>
 
-* <b>Layout detection model, including 20 common categories: document title, section title, text, page number, abstract, table of contents, references, footnote, header, footer, algorithm, formula, formula number, image, table, figure and table captions (figure caption, table caption, and chart caption), stamp, chart, sidebar text, and reference content.</b>
+* <b>Layout detection model, including 1 category: block.</b>
 <table>
 <thead>
 <tr>
@@ -2632,17 +2632,17 @@ PaddleX includes multiple pipelines, each containing several modules, and each m
 <tbody>
 <tr>
 <td>PP-DocBlockLayout</td>
-<td>-</td>
-<td>- / -</td>
-<td>- / - </td>
-<td>123.92 </td>
+<td>95.9</td>
+<td>34.6244 / 10.3945</td>
+<td>510.57 / - </td>
+<td>123.92 M</td>
 <td><a href="https://github.com/PaddlePaddle/PaddleX/blob/develop/paddlex/configs/modules/layout_detection/PP-DocBlockLayout.yaml">PP-DocBlockLayout.yaml</a></td>
 <td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocBlockLayout_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-DocBlockLayout_pretrained.pdparams">Training Model</a></td>
 </tr>
 </tbody>
 </table>
 
-<b>Note: The evaluation set for the accuracy metrics mentioned above is a custom-built layout detection dataset, which includes 1,300 document-type images such as Chinese and English papers, magazines, newspapers, research reports, PPTs, exam papers, and textbooks.</b>
+<b>Note: The evaluation set for the accuracy metrics mentioned above is a custom-built layout block detection dataset, which includes 1,000 document-type images such as Chinese and English papers, magazines, newspapers, research reports, PPTs, exam papers, and textbooks.</b>
 
 
 * <b>The layout detection model includes 23 common categories: document title, paragraph title, text, page number, abstract, table of contents, references, footnotes, header, footer, algorithm, formula, formula number, image, figure caption, table, table caption, seal, figure title, figure, header image, footer image, and sidebar text. </b>
@@ -3002,15 +3002,6 @@ PaddleX includes multiple pipelines, each containing several modules, and each m
 <td><a href="https://github.com/PaddlePaddle/PaddleX/blob/develop/paddlex/configs/modules/ts_anomaly_detection/PatchTST_ad.yaml">PatchTST_ad.yaml</a></td>
 <td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PatchTST_ad_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PatchTST_ad_pretrained.pdparams">Training Model</a></td></tr>
 
-<tr>
-<td>TimesNet_ad</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>1000 K</td>
-<td><a href="https://github.com/PaddlePaddle/PaddleX/blob/develop/paddlex/configs/modules/ts_anomaly_detection/TimesNet_ad.yaml">TimesNet_ad.yaml</a></td>
-<td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/TimesNet_ad_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/TimesNet_ad_pretrained.pdparams">Training Model</a></td></tr>
-
 </tbody>
 </table>
 <b>Note: The above precision metrics are measured from the </b>[PSM](https://paddle-model-ecology.bj.bcebos.com/paddlex/data/ts_anomaly_examples.tar)<b> dataset.</b>

docs/support_list/models_list.md

@@ -2507,7 +2507,7 @@ devanagari_PP-OCRv3_mobile_rec_infer.tar">推理模型</a>/<a href="">训练模
 
 <b>注：以上精度指标的评估集是自建的版面区域检测数据集，包含中英文论文、杂志、报纸、研报、PPT、试卷、课本等 1300 张文档类型图片。</b>
 
-* <b>版面检测模型，包含20个常见的类别：文档标题、段落标题、文本、页码、摘要、目录、参考文献、脚注、页眉、页脚、算法、公式、公式编号、图像、表格、图和表标题（图标题、表格标题和图表标题）、印章、图表、侧栏文本和参考文献内容</b>
+* <b>文档图像版面子模块检测，包含1个 版面区域 类别，能检测多栏的报纸、杂志的每个子文章的文本区域:</b>
 <table>
 <thead>
 <tr>
@@ -2523,17 +2523,17 @@ devanagari_PP-OCRv3_mobile_rec_infer.tar">推理模型</a>/<a href="">训练模
 <tbody>
 <tr>
 <td>PP-DocBlockLayout</td>
-<td>-</td>
-<td>- / -</td>
-<td>- / - </td>
-<td>123.92 </td>
+<td>95.9</td>
+<td>34.6244 / 10.3945</td>
+<td>510.57 / - </td>
+<td>123 M</td>
 <td><a href="https://github.com/PaddlePaddle/PaddleX/blob/develop/paddlex/configs/modules/layout_detection/PP-DocBlockLayout.yaml">PP-DocBlockLayout.yaml</a></td>
 <td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocBlockLayout_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-DocBlockLayout_pretrained.pdparams">训练模型</a></td>
 </tr>
 </tbody>
 </table>
 
-<b>注：以上精度指标的评估集是自建的版面区域检测数据集，包含中英文论文、杂志、报纸、研报、PPT、试卷、课本等 1300 张文档类型图片。</b>
+<b>注：以上精度指标的评估集是自建的版面子区域检测数据集，包含中英文论文、杂志、报纸、研报、PPT、试卷、课本等 1000 张文档类型图片。</b>
 
 
 * <b>版面检测模型，包含23个常见的类别：文档标题、段落标题、文本、页码、摘要、目录、参考文献、脚注、页眉、页脚、算法、公式、公式编号、图像、图表标题、表格、表格标题、印章、图表标题、图表、页眉图像、页脚图像、侧栏文本</b>
@@ -2894,14 +2894,6 @@ devanagari_PP-OCRv3_mobile_rec_infer.tar">推理模型</a>/<a href="">训练模
 <td><a href="https://github.com/PaddlePaddle/PaddleX/blob/develop/paddlex/configs/modules/ts_anomaly_detection/PatchTST_ad.yaml">PatchTST_ad.yaml</a></td>
 <td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PatchTST_ad_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PatchTST_ad_pretrained.pdparams">训练模型</a></td></tr>
 
-<tr>
-<td>TimesNet_ad</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>1000 K</td>
-<td><a href="https://github.com/PaddlePaddle/PaddleX/blob/develop/paddlex/configs/modules/ts_anomaly_detection/TimesNet_ad.yaml">TimesNet_ad.yaml</a></td>
-<td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/TimesNet_ad_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/TimesNet_ad_pretrained.pdparams">训练模型</a></td></tr>
 
 </tbody>
 </table>