[Fix] Small fixes in .yml and .md files after fcaf3d pr (#1711)

README.md

@@ -66,7 +66,7 @@ a part of the OpenMMLab project developed by [MMLab](http://mmlab.ie.cuhk.edu.hk
 
 - **High efficiency**
 
-  It trains faster than other codebases. The main results are as below. Details can be found in [benchmark.md](./docs/en/benchmarks.md). We compare the number of samples trained per second (the higher, the better). The models that are not supported by other codebases are marked by `×`.
+  It trains faster than other codebases. The main results are as below. Details can be found in [benchmark.md](./docs/en/benchmarks.md). We compare the number of samples trained per second (the higher, the better). The models that are not supported by other codebases are marked by `✗`.
 
   |       Methods       | MMDetection3D | [OpenPCDet](https://github.com/open-mmlab/OpenPCDet) | [votenet](https://github.com/facebookresearch/votenet) | [Det3D](https://github.com/poodarchu/Det3D) |
   | :-----------------: | :-----------: | :--------------------------------------------------: | :----------------------------------------------------: | :-----------------------------------------: |
@@ -222,7 +222,7 @@ Results and models are available in the [model zoo](docs/en/model_zoo.md).
 |    MVXNet     |   ✓    |     ✗      |   ✓    |   ✗   |    ✗    |  ✗  |     ✗      |
 |  CenterPoint  |   ✗    |     ✗      |   ✓    |   ✗   |    ✗    |  ✗  |     ✗      |
 |      SSN      |   ✗    |     ✗      |   ✗    |   ✗   |    ✓    |  ✗  |     ✗      |
-|   ImVoteNet   |   ✗    |     ✓      |   ✗    |   ✗   |    ✗    |  ✗  |     ✗      |
+|   ImVoteNet   |   ✓    |     ✓      |   ✗    |   ✗   |    ✗    |  ✗  |     ✗      |
 |    FCOS3D     |   ✓    |     ✗      |   ✗    |   ✗   |    ✗    |  ✗  |     ✗      |
 |  PointNet++   |   ✗    |     ✓      |   ✗    |   ✗   |    ✗    |  ✗  |     ✗      |
 | Group-Free-3D |   ✗    |     ✓      |   ✗    |   ✗   |    ✗    |  ✗  |     ✗      |

README_zh-CN.md

@@ -66,7 +66,7 @@ MMDetection3D 是一个基于 PyTorch 的目标检测开源工具箱, 下一代
 
 - **性能高**
 
-  训练速度比其他代码库更快。下表可见主要的对比结果。更多的细节可见[基准测评文档](./docs/zh_cn/benchmarks.md)。我们对比了每秒训练的样本数（值越高越好）。其他代码库不支持的模型被标记为 `×`。
+  训练速度比其他代码库更快。下表可见主要的对比结果。更多的细节可见[基准测评文档](./docs/zh_cn/benchmarks.md)。我们对比了每秒训练的样本数（值越高越好）。其他代码库不支持的模型被标记为 `✗`。
 
   |       Methods       | MMDetection3D | [OpenPCDet](https://github.com/open-mmlab/OpenPCDet) | [votenet](https://github.com/facebookresearch/votenet) | [Det3D](https://github.com/poodarchu/Det3D) |
   | :-----------------: | :-----------: | :--------------------------------------------------: | :----------------------------------------------------: | :-----------------------------------------: |
@@ -222,7 +222,7 @@ MMDetection3D 是一个基于 PyTorch 的目标检测开源工具箱, 下一代
 |    MVXNet     |   ✓    |     ✗      |   ✓    |   ✗   |    ✗    |  ✗  |     ✗      |
 |  CenterPoint  |   ✗    |     ✗      |   ✓    |   ✗   |    ✗    |  ✗  |     ✗      |
 |      SSN      |   ✗    |     ✗      |   ✗    |   ✗   |    ✓    |  ✗  |     ✗      |
-|   ImVoteNet   |   ✗    |     ✓      |   ✗    |   ✗   |    ✗    |  ✗  |     ✗      |
+|   ImVoteNet   |   ✓    |     ✓      |   ✗    |   ✗   |    ✗    |  ✗  |     ✗      |
 |    FCOS3D     |   ✓    |     ✗      |   ✗    |   ✗   |    ✗    |  ✗  |     ✗      |
 |  PointNet++   |   ✗    |     ✓      |   ✗    |   ✗   |    ✗    |  ✗  |     ✗      |
 | Group-Free-3D |   ✗    |     ✓      |   ✗    |   ✗   |    ✗    |  ✗  |     ✗      |

configs/fcaf3d/metafile.yml

@@ -27,7 +27,7 @@ Models:
         Metrics:
           AP@0.25: 69.7
           AP@0.5: 55.2
-    Weights: TODO
+    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/fcaf3d/fcaf3d_8x2_scannet-3d-18class/fcaf3d_8x2_scannet-3d-18class_20220805_084956.pth
 
   - Name: fcaf3d_8x2_sunrgbd-3d-10class
     In Collection: FCAF3D
@@ -41,7 +41,7 @@ Models:
         Metrics:
           AP@0.25: 64.75
           AP@0.5: 48.21
-    Weights: TODO
+    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/fcaf3d/fcaf3d_8x2_sunrgbd-3d-10class/fcaf3d_8x2_sunrgbd-3d-10class_20220805_165017.pth
 
   - Name: fcaf3d_8x2_s3dis-3d-5class
     In Collection: FCAF3D
@@ -55,4 +55,4 @@ Models:
         Metrics:
           AP@0.25: 67.36
           AP@0.5: 45.74
-    Weights: TODO
+    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/fcaf3d/fcaf3d_8x2_s3dis-3d-5class/fcaf3d_8x2_s3dis-3d-5class_20220805_121957.pth