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[Enhance] Update model and backbone table format in README.md (#1283) 

* update_table

* update

* change method to architectures

* adjust the format

* fix a type
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README.md
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......@@ -88,38 +88,122 @@ Please refer to [changelog.md](docs/en/changelog.md) for details and release his
## Benchmark and model zoo
Supported methods and backbones are shown in the below table.
Results and models are available in the [model zoo](docs/en/model_zoo.md).
Support backbones:
- [x] PointNet (CVPR'2017)
- [x] PointNet++ (NeurIPS'2017)
- [x] RegNet (CVPR'2020)
- [x] DGCNN (TOG'2019)
- [x] DLA (CVPR'2018)
Support methods
- [x] [SECOND (Sensor'2018)](configs/second/README.md)
- [x] [PointPillars (CVPR'2019)](configs/pointpillars/README.md)
- [x] [FreeAnchor (NeurIPS'2019)](configs/free_anchor/README.md)
- [x] [VoteNet (ICCV'2019)](configs/votenet/README.md)
- [x] [H3DNet (ECCV'2020)](configs/h3dnet/README.md)
- [x] [3DSSD (CVPR'2020)](configs/3dssd/README.md)
- [x] [Part-A2 (TPAMI'2020)](configs/parta2/README.md)
- [x] [MVXNet (ICRA'2019)](configs/mvxnet/README.md)
- [x] [CenterPoint (CVPR'2021)](configs/centerpoint/README.md)
- [x] [SSN (ECCV'2020)](configs/ssn/README.md)
- [x] [ImVoteNet (CVPR'2020)](configs/imvotenet/README.md)
- [x] [FCOS3D (ICCVW'2021)](configs/fcos3d/README.md)
- [x] [PointNet++ (NeurIPS'2017)](configs/pointnet2/README.md)
- [x] [Group-Free-3D (ICCV'2021)](configs/groupfree3d/README.md)
- [x] [ImVoxelNet (WACV'2022)](configs/imvoxelnet/README.md)
- [x] [PAConv (CVPR'2021)](configs/paconv/README.md)
- [x] [DGCNN (TOG'2019)](configs/dgcnn/README.md)
- [x] [SMOKE (CVPRW'2020)](configs/smoke/README.md)
- [x] [PGD (CoRL'2021)](configs/pgd/README.md)
<div align="center">
<b>Components</b>
</div>
<table align="center">
<tbody>
<tr align="center" valign="bottom">
<td>
<b>Backbones</b>
</td>
<td>
<b>Heads</b>
</td>
<td>
<b>Features</b>
</td>
</tr>
<tr valign="top">
<td>
<ul>
<li><a href="configs/pointnet2">PointNet (CVPR'2017)</a></li>
<li><a href="configs/pointnet2">PointNet++ (NeurIPS'2017)</a></li>
<li><a href="configs/regnet">RegNet (CVPR'2020)</a></li>
<li><a href="configs/dgcnn">DGCNN (TOG'2019)</a></li>
<li>DLA (CVPR'2018)</li>
</ul>
</td>
<td>
<ul>
<li><a href="configs/free_anchor">FreeAnchor (NeurIPS'2019)</a></li>
</ul>
</td>
<td>
<ul>
<li><a href="configs/dynamic_voxelization">Dynamic Voxelization (CoRL'2019)</a></li>
</ul>
</td>
</tr>
</td>
</tr>
</tbody>
</table>
<div align="center">
<b>Architectures</b>
</div>
<table align="center">
<tbody>
<tr align="center" valign="middle">
<td>
<b>3D Object Detection</b>
</td>
<td>
<b>Monocular 3D Object Detection</b>
</td>
<td>
<b>Multi-modal 3D Object Detection</b>
</td>
<td>
<b>3D Semantic Segmentation</b>
</td>
</tr>
<tr valign="top">
<td>
<li><b>Outdoor</b></li>
<ul>
<li><a href="configs/second">SECOND (Sensor'2018)</a></li>
<li><a href="configs/pointpillars">PointPillars (CVPR'2019)</a></li>
<li><a href="configs/ssn">SSN (ECCV'2020)</a></li>
<li><a href="configs/3dssd">3DSSD (CVPR'2020)</a></li>
<li><a href="configs/ point_rcnn">PointRCNN</a></li>
<li><a href="configs/parta2">Part-A2 (TPAMI'2020)</a></li>
<li><a href="configs/centerpoint">CenterPoint (CVPR'2021)</a></li>
</ul>
<li><b>Indoor</b></li>
<ul>
<li><a href="configs/votenet">VoteNet (ICCV'2019)</a></li>
<li><a href="configs/h3dnet">H3DNet (ECCV'2020)</a></li>
<li><a href="configs/groupfree3d">Group-Free-3D (ICCV'2021)</a></li>
</ul>
</td>
<td>
<li><b>Outdoor</b></li>
<ul>
<li><a href="configs/imvoxelnet">ImVoxelNet (WACV'2022)</a></li>
<li><a href="configs/smoke">SMOKE (CVPRW'2020)</a></li>
<li><a href="configs/fcos3d">FCOS3D (ICCVW'2021)</a></li>
<li><a href="configs/pgd">PGD (CoRL'2021)</a></li>
<li><a href="configs/monoflex">MonoFlex (CVPR'2021)</a></li>
</ul>
</td>
<td>
<li><b>Outdoor</b></li>
<ul>
<li><a href="configs/mvxnet">MVXNet (ICRA'2019)</a></li>
</ul>
<li><b>Indoor</b></li>
<ul>
<li><a href="configs/imvotenet">ImVoteNet (CVPR'2020)</a></li>
</ul>
</td>
<td>
<li><b>Indoor</b></li>
<ul>
<li><a href="configs/pointnet2">PointNet++ (NeurIPS'2017)</a></li>
<li><a href="configs/paconv">PAConv (CVPR'2021)</a></li>
<li><a href="configs/dgcnn">DGCNN (TOG'2019)</a></li>
</ul>
</ul>
</td>
</tr>
</td>
</tr>
</tbody>
</table>
| | ResNet | ResNeXt | SENet |PointNet++ |DGCNN | HRNet | RegNetX | Res2Net | DLA |
|--------------------|:--------:|:--------:|:--------:|:---------:|:---------:|:-----:|:--------:|:-----:|:---:|
......@@ -142,9 +226,8 @@ Support methods
| DGCNN | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ | ✗ | ✗ | ✗
| SMOKE | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓
| PGD | ✓ | ☐ | ☐ | ✗ | ✗ | ☐ | ☐ | ☐ | ✗
| MonoFlex | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓
Other features
- [x] [Dynamic Voxelization](configs/dynamic_voxelization/README.md)
**Note:** All the about **300+ models, methods of 40+ papers** in 2D detection supported by [MMDetection](https://github.com/open-mmlab/mmdetection/blob/master/docs/en/model_zoo.md) can be trained or used in this codebase.
......
README_zh-CN.md
View file @ e6d0e214
......@@ -90,35 +90,120 @@ MMDetection3D 是一个基于 PyTorch 的目标检测开源工具箱, 下一代
测试结果和模型可以在[模型库](docs/zh_cn/model_zoo.md)中找到。
已支持的骨干网络：
- [x] PointNet (CVPR'2017)
- [x] PointNet++ (NeurIPS'2017)
- [x] RegNet (CVPR'2020)
- [x] DGCNN (TOG'2019)
- [x] DLA (CVPR'2018)
已支持的算法：
- [x] [SECOND (Sensor'2018)](configs/second/README.md)
- [x] [PointPillars (CVPR'2019)](configs/pointpillars/README.md)
- [x] [FreeAnchor (NeurIPS'2019)](configs/free_anchor/README.md)
- [x] [VoteNet (ICCV'2019)](configs/votenet/README.md)
- [x] [H3DNet (ECCV'2020)](configs/h3dnet/README.md)
- [x] [3DSSD (CVPR'2020)](configs/3dssd/README.md)
- [x] [Part-A2 (TPAMI'2020)](configs/parta2/README.md)
- [x] [MVXNet (ICRA'2019)](configs/mvxnet/README.md)
- [x] [CenterPoint (CVPR'2021)](configs/centerpoint/README.md)
- [x] [SSN (ECCV'2020)](configs/ssn/README.md)
- [x] [ImVoteNet (CVPR'2020)](configs/imvotenet/README.md)
- [x] [FCOS3D (ICCVW'2021)](configs/fcos3d/README.md)
- [x] [PointNet++ (NeurIPS'2017)](configs/pointnet2/README.md)
- [x] [Group-Free-3D (ICCV'2021)](configs/groupfree3d/README.md)
- [x] [ImVoxelNet (WACV'2022)](configs/imvoxelnet/README.md)
- [x] [PAConv (CVPR'2021)](configs/paconv/README.md)
- [x] [DGCNN (TOG'2019)](configs/dgcnn/README.md)
- [x] [SMOKE (CVPRW'2020)](configs/smoke/README.md)
- [x] [PGD (CoRL'2021)](configs/pgd/README.md)
<div align="center">
<b>模块组件</b>
</div>
<table align="center">
<tbody>
<tr align="center" valign="bottom">
<td>
<b>主干网络</b>
</td>
<td>
<b>检测头</b>
</td>
<td>
<b>特性</b>
</td>
</tr>
<tr valign="top">
<td>
<ul>
<li><a href="configs/pointnet2">PointNet (CVPR'2017)</a></li>
<li><a href="configs/pointnet2">PointNet++ (NeurIPS'2017)</a></li>
<li><a href="configs/regnet">RegNet (CVPR'2020)</a></li>
<li><a href="configs/dgcnn">DGCNN (TOG'2019)</a></li>
<li>DLA (CVPR'2018)</li>
</ul>
</td>
<td>
<ul>
<li><a href="configs/free_anchor">FreeAnchor (NeurIPS'2019)</a></li>
</ul>
</td>
<td>
<ul>
<li><a href="configs/dynamic_voxelization">Dynamic Voxelization (CoRL'2019)</a></li>
</ul>
</td>
</tr>
</td>
</tr>
</tbody>
</table>
<div align="center">
<b>算法模型</b>
</div>
<table align="center">
<tbody>
<tr align="center" valign="middle">
<td>
<b>3D 目标检测</b>
</td>
<td>
<b>单目 3D 目标检测</b>
</td>
<td>
<b>多模态 3D 目标检测</b>
</td>
<td>
<b>3D 语义分割</b>
</td>
</tr>
<tr valign="top">
<td>
<li><b>室外</b></li>
<ul>
<li><a href="configs/second">SECOND (Sensor'2018)</a></li>
<li><a href="configs/pointpillars">PointPillars (CVPR'2019)</a></li>
<li><a href="configs/ssn">SSN (ECCV'2020)</a></li>
<li><a href="configs/3dssd">3DSSD (CVPR'2020)</a></li>
<li><a href="configs/ point_rcnn">PointRCNN</a></li>
<li><a href="configs/parta2">Part-A2 (TPAMI'2020)</a></li>
<li><a href="configs/centerpoint">CenterPoint (CVPR'2021)</a></li>
</ul>
<li><b>室内</b></li>
<ul>
<li><a href="configs/votenet">VoteNet (ICCV'2019)</a></li>
<li><a href="configs/h3dnet">H3DNet (ECCV'2020)</a></li>
<li><a href="configs/groupfree3d">Group-Free-3D (ICCV'2021)</a></li>
</ul>
</td>
<td>
<li><b>室外</b></li>
<ul>
<li><a href="configs/imvoxelnet">ImVoxelNet (WACV'2022)</a></li>
<li><a href="configs/smoke">SMOKE (CVPRW'2020)</a></li>
<li><a href="configs/fcos3d">FCOS3D (ICCVW'2021)</a></li>
<li><a href="configs/pgd">PGD (CoRL'2021)</a></li>
<li><a href="configs/monoflex">MonoFlex (CVPR'2021)</a></li>
</ul>
</td>
<td>
<li><b>室外</b></li>
<ul>
<li><a href="configs/mvxnet">MVXNet (ICRA'2019)</a></li>
</ul>
<li><b>室内</b></li>
<ul>
<li><a href="configs/imvotenet">ImVoteNet (CVPR'2020)</a></li>
</ul>
</td>
<td>
<li><b>室内</b></li>
<ul>
<li><a href="configs/pointnet2">PointNet++ (NeurIPS'2017)</a></li>
<li><a href="configs/paconv">PAConv (CVPR'2021)</a></li>
<li><a href="configs/dgcnn">DGCNN (TOG'2019)</a></li>
</ul>
</ul>
</td>
</tr>
</td>
</tr>
</tbody>
</table>
| | ResNet | ResNeXt | SENet |PointNet++ |DGCNN | HRNet | RegNetX | Res2Net | DLA |
|--------------------|:--------:|:--------:|:--------:|:---------:|:---------:|:-----:|:--------:|:-----:|:---:|
......@@ -141,9 +226,8 @@ MMDetection3D 是一个基于 PyTorch 的目标检测开源工具箱, 下一代
| DGCNN | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ | ✗ | ✗ | ✗
| SMOKE | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓
| PGD | ✓ | ☐ | ☐ | ✗ | ✗ | ☐ | ☐ | ☐ | ✗
| MonoFlex | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓
其他特性
- [x] [Dynamic Voxelization](configs/dynamic_voxelization/README.md)
**注意：** [MMDetection](https://github.com/open-mmlab/mmdetection/blob/master/docs/zh_cn/model_zoo.md) 支持的基于2D检测的**300+个模型 , 40+的论文算法**在 MMDetection3D 中都可以被训练或使用。
......
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