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PaddleDetection
未验证 提交 ea2d7d87 编写于 作者: K Kaipeng Deng 提交者： GitHub
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fix table in README (#4596) 

* fix table in README

* update table

* fix format

* polish

* polish
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README_cn.md
浏览文件 @ ea2d7d87
......@@ -46,7 +46,8 @@ PaddleDetection为基于飞桨PaddlePaddle的端到端目标检测套件，提
</tr>
<tr valign="top">
<td>
<ul><li><b>Two-Stage Detection</b></li>
<ul>
<li><b>Object Detection</b></li>
<ul>
<li>Faster RCNN</li>
<li>FPN</li>
......@@ -54,57 +55,38 @@ PaddleDetection为基于飞桨PaddlePaddle的端到端目标检测套件，提
<li>Libra RCNN</li>
<li>Hybrid Task RCNN</li>
<li>PSS-Det</li>
</ul>
</ul>
<ul><li><b>One-Stage Detection</b></li>
<ul>
<li>RetinaNet</li>
<li>YOLOv3</li>
<li>YOLOv4</li>
<li>PP-YOLOv1/v2/Tiny</li>
<li>PP-YOLOv1/v2</li>
<li>PP-YOLO-Tiny</li>
<li>SSD</li>
</ul>
</ul>
<ul><li><b>Anchor Free</b></li>
<ul>
<li>CornerNet-Squeeze</li>
<li>FCOS</li>
<li>TTFNet</li>
<li>PicoDet</li>
</ul>
<li>PP-PicoDet</li>
<li>DETR</li>
<li>Deformable DETR</li>
<li>Swin Transformer</li>
<li>Sparse RCNN</li>
</ul>
<ul>
<li><b>Instance Segmentation</b></li>
<ul>
<li>Mask RCNN</li>
<li>SOLOv2</li>
</ul>
</ul>
<ul>
<li><b>Face-Detction</b></li>
<li><b>Face Detection</b></li>
<ul>
<li>FaceBoxes</li>
<li>BlazeFace</li>
<li>BlazeFace-NAS</li>
</ul>
</ul>
<ul>
<li><b>Transformer</b></li>
<ul>
<li>DETR/Deformable DETR</li>
<li>Sparse RCNN</li>
<li>Swin Transformer</li>
</ul>
</ul>
<ul>
<li><b>Multi-Object-Tracking</b></li>
<ul>
<li>JDE</li>
<li>FairMOT</li>
<li>DeepSort</li>
</ul>
</ul>
<ul>
<li><b>KeyPoint-Detection</b></li>
<ul>
<li>HRNet</li>
......
README_en.md
浏览文件 @ ea2d7d87
......@@ -53,7 +53,8 @@ Based on the high performance core of PaddlePaddle, advantages of training speed
</tr>
<tr valign="top">
<td>
<ul><li><b>Two-Stage Detection</b></li>
<ul>
<li><b>Object Detection</b></li>
<ul>
<li>Faster RCNN</li>
<li>FPN</li>
......@@ -61,57 +62,38 @@ Based on the high performance core of PaddlePaddle, advantages of training speed
<li>Libra RCNN</li>
<li>Hybrid Task RCNN</li>
<li>PSS-Det</li>
</ul>
</ul>
<ul><li><b>One-Stage Detection</b></li>
<ul>
<li>RetinaNet</li>
<li>YOLOv3</li>
<li>YOLOv4</li>
<li>PP-YOLOv1/v2/Tiny</li>
<li>PP-YOLOv1/v2</li>
<li>PP-YOLO-Tiny</li>
<li>SSD</li>
</ul>
</ul>
<ul><li><b>Anchor Free</b></li>
<ul>
<li>CornerNet-Squeeze</li>
<li>FCOS</li>
<li>TTFNet</li>
<li>PicoDet</li>
</ul>
<li>PP-PicoDet</li>
<li>DETR</li>
<li>Deformable DETR</li>
<li>Swin Transformer</li>
<li>Sparse RCNN</li>
</ul>
<ul>
<li><b>Instance Segmentation</b></li>
<ul>
<li>Mask RCNN</li>
<li>SOLOv2</li>
</ul>
</ul>
<ul>
<li><b>Face-Detction</b></li>
<li><b>Face Detection</b></li>
<ul>
<li>FaceBoxes</li>
<li>BlazeFace</li>
<li>BlazeFace-NAS</li>
</ul>
</ul>
<ul>
<li><b>Transformer</b></li>
<ul>
<li>DETR/Deformable DETR</li>
<li>Sparse RCNN</li>
<li>Swin Transformer</li>
</ul>
</ul>
<ul>
<li><b>Multi-Object-Tracking</b></li>
<ul>
<li>JDE</li>
<li>FairMOT</li>
<li>DeepSort</li>
</ul>
</ul>
<ul>
<li><b>KeyPoint-Detection</b></li>
<ul>
<li>HRNet</li>
......
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