[Fix] update part of model links (#1369)

* update model link

* update ssn

* update info in changelog, reamde

* fix comments

* update table

configs/second/README.md

@@ -24,7 +24,7 @@ We implement SECOND and provide the results and checkpoints on KITTI dataset.
 | :---------: | :-----: | :------: | :------------: | :----: |:----: | :------: |
 |    [SECFPN](./hv_second_secfpn_6x8_80e_kitti-3d-car.py)| Car |cyclic 80e|5.4||79.07|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/second/hv_second_secfpn_6x8_80e_kitti-3d-car/hv_second_secfpn_6x8_80e_kitti-3d-car_20200620_230238-393f000c.pth) | [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/second/hv_second_secfpn_6x8_80e_kitti-3d-car/hv_second_secfpn_6x8_80e_kitti-3d-car_20200620_230238.log.json)|
 |    [SECFPN (FP16)](./hv_second_secfpn_fp16_6x8_80e_kitti-3d-car.py)| Car |cyclic 80e|2.9||78.72|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-car/hv_second_secfpn_fp16_6x8_80e_kitti-3d-car_20200924_211301-1f5ad833.pth)| [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-car/hv_second_secfpn_fp16_6x8_80e_kitti-3d-car_20200924_211301.log.json)|
-|    [SECFPN](./hv_second_secfpn_6x8_80e_kitti-3d-3class.py)| 3 Class |cyclic 80e|5.4||64.41|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/second/hv_second_secfpn_6x8_80e_kitti-3d-3class/hv_second_secfpn_6x8_80e_kitti-3d-3class_20200620_230238-9208083a.pth) | [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/second/hv_second_secfpn_6x8_80e_kitti-3d-3class/hv_second_secfpn_6x8_80e_kitti-3d-3class_20200620_230238.log.json)|
+|    [SECFPN](./hv_second_secfpn_6x8_80e_kitti-3d-3class.py)| 3 Class |cyclic 80e|5.4||65.74|[model](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/second/hv_second_secfpn_6x8_80e_kitti-3d-3class/hv_second_secfpn_6x8_80e_kitti-3d-3class_20210831_022017-ae782e87.pth) | [log](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/second/hv_second_secfpn_6x8_80e_kitti-3d-3class/hv_second_secfpn_6x8_80e_kitti-3d-3class_20210831_022017log.json)|
 |    [SECFPN (FP16)](./hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py)| 3 Class |cyclic 80e|2.9||67.4|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class_20200925_110059-05f67bdf.pth) | [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class_20200925_110059.log.json)|
 
 ### Waymo

configs/second/metafile.yml

@@ -39,8 +39,8 @@ Models:
       - Task: 3D Object Detection
         Dataset: KITTI
         Metrics:
-          mAP: 64.41
-    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/second/hv_second_secfpn_6x8_80e_kitti-3d-3class/hv_second_secfpn_6x8_80e_kitti-3d-3class_20200620_230238-9208083a.pth
+          mAP: 65.74
+    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/second/hv_second_secfpn_6x8_80e_kitti-3d-3class/hv_second_secfpn_6x8_80e_kitti-3d-3class_20210831_022017-ae782e87.pth
 
   - Name: hv_second_secfpn_sbn_2x16_2x_waymoD5-3d-3class
     In Collection: SECOND

configs/ssn/README.md

@@ -23,17 +23,17 @@ We implement PointPillars with Shape-aware grouping heads used in the SSN and pr
 |  Backbone   | Lr schd | Mem (GB) | Inf time (fps) | mAP | NDS | Download |
 | :---------: | :-----: | :------: | :------------: | :----: |:----: | :------: |
 |[SECFPN](../pointpillars/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d.py)|2x|16.4||35.17|49.76|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d_20200620_230725-0817d270.pth) | [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d_20200620_230725.log.json)|
-|[SSN](./hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d.py)|2x|9.62||41.56|54.83|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d_20201023_193737-5fda3f00.pth) | [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d_20201023_193737.log.json)|
+|[SSN](./hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d.py)|2x|3.6||40.91|54.44|[model](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d_20210830_101351-51915986.pth) | [log](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d_20210830_101351.log.json)|
 [RegNetX-400MF-SECFPN](../regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d.py)|2x|16.4||41.15|55.20|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d_20200620_230334-53044f32.pth) | [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d_20200620_230334.log.json)|
-|[RegNetX-400MF-SSN](./hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d.py)|2x|10.26||46.95|58.24|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d_20201024_232447-7af3d8c8.pth) | [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d_20201024_232447.log.json)|
+|[RegNetX-400MF-SSN](./hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d.py)|2x|5.1||46.65|58.24|[model](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d_20210829_210615-361e5e04.pth) | [log](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d_20210829_210615.log.json)|
 
 ### Lyft
 
 |  Backbone   | Lr schd | Mem (GB) | Inf time (fps) | Private Score | Public Score | Download |
 | :---------: | :-----: | :------: | :------------: | :----: |:----: | :------: |
 |[SECFPN](../pointpillars/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d.py)|2x|12.2||13.9|14.1|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d_20210517_204807-2518e3de.pth) | [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d_20210517_204807.log.json)|
-|[SSN](./hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d.py)|2x|8.30||17.4|17.5|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d_20201016_220844-3058d9fc.pth) | [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d_20201016_220844.log.json)|
-|[RegNetX-400MF-SSN](./hv_ssn_regnet-400mf_secfpn_sbn-all_1x16_2x_lyft-3d.py)|2x|9.98||18.1|18.3|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_lyft-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_lyft-3d_20201025_213155-4532096c.pth) | [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_lyft-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_lyft-3d_20201025_213155.log.json)|
+|[SSN](./hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d.py)|2x|8.5||17.5|17.5|[model](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d_20210822_134731-46841b41.pth) | [log](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d_20210822_134731.log.json)|
+|[RegNetX-400MF-SSN](./hv_ssn_regnet-400mf_secfpn_sbn-all_1x16_2x_lyft-3d.py)|2x|7.4||17.9|18|[model](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_1x16_2x_lyft-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_1x16_2x_lyft-3d_20210829_122825-d93475a1.pth) | [log](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_1x16_2x_lyft-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_1x16_2x_lyft-3d_20210829_122825.log.json)|
 
 Note:
 

configs/ssn/metafile.yml

@@ -20,53 +20,53 @@ Models:
     Config: configs/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d.py
     Metadata:
       Training Data: nuScenes
-      Training Memory (GB): 9.62
+      Training Memory (GB): 3.6
     Results:
       - Task: 3D Object Detection
         Dataset: nuScenes
         Metrics:
-          mAP: 41.56
-          NDS: 54.83
-    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d_20201023_193737-5fda3f00.pth
+          mAP: 40.91
+          NDS: 54.44
+    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d_20210830_101351-51915986.pth
 
   - Name: hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d
     In Collection: SSN
     Config: configs/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d.py
     Metadata:
       Training Data: nuScenes
-      Training Memory (GB): 10.26
+      Training Memory (GB): 5.1
     Results:
       - Task: 3D Object Detection
         Dataset: nuScenes
         Metrics:
-          mAP: 46.95
+          mAP: 46.65
           NDS: 58.24
-    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d_20201024_232447-7af3d8c8.pth
+    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d_20210829_210615-361e5e04.pth
 
   - Name: hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d
     In Collection: SSN
     Config: configs/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d.py
     Metadata:
       Training Data: Lyft
-      Training Memory (GB): 8.30
+      Training Memory (GB): 8.5
     Results:
       - Task: 3D Object Detection
         Dataset: Lyft
         Metrics:
-          Private Score: 17.4
+          Private Score: 17.5
           Public Score: 17.5
-    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d_20201016_220844-3058d9fc.pth
+    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d_20210822_134731-46841b41.pth
 
   - Name: hv_ssn_regnet-400mf_secfpn_sbn-all_1x16_2x_lyft-3d
     In Collection: SSN
     Config: configs/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_1x16_2x_lyft-3d.py
     Metadata:
       Training Data: Lyft
-      Training Memory (GB): 9.98
+      Training Memory (GB): 7.4
     Results:
       - Task: 3D Object Detection
         Dataset: Lyft
         Metrics:
-          Private Score: 18.1
-          Public Score: 18.3
-    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_lyft-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_lyft-3d_20201025_213155-4532096c.pth
+          Private Score: 17.9
+          Public Score: 18.0
+    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_1x16_2x_lyft-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_1x16_2x_lyft-3d_20210829_122825-d93475a1.pth

configs/votenet/README.md

@@ -22,13 +22,13 @@ We implement VoteNet and provide the result and checkpoints on ScanNet and SUNRG
 
 |  Backbone   | Lr schd | Mem (GB) | Inf time (fps) | AP@0.25 |AP@0.5| Download |
 | :---------: | :-----: | :------: | :------------: | :----: |:----: | :------: |
-|    [PointNet++](./votenet_8x8_scannet-3d-18class.py)     |  3x    |4.1||62.90|39.91|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/votenet/votenet_8x8_scannet-3d-18class/votenet_8x8_scannet-3d-18class_20200620_230238-2cea9c3a.pth) | [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/votenet/votenet_8x8_scannet-3d-18class/votenet_8x8_scannet-3d-18class_20200620_230238.log.json)|
+|    [PointNet++](./votenet_8x8_scannet-3d-18class.py)     |  3x    |4.1||62.34|40.82|[model](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/votenet/votenet_8x8_scannet-3d-18class/votenet_8x8_scannet-3d-18class_20210823_234503-cf8134fa.pth) | [log](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/votenet/votenet_8x8_scannet-3d-18class/votenet_8x8_scannet-3d-18class_20210823_234503.log.json)|
 
 ### SUNRGBD
 
 |  Backbone   | Lr schd | Mem (GB) | Inf time (fps) | AP@0.25 |AP@0.5| Download |
 | :---------: | :-----: | :------: | :------------: | :----: |:----: | :------: |
-|    [PointNet++](./votenet_16x8_sunrgbd-3d-10class.py)     |  3x    |8.1||59.07|35.77|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/votenet/votenet_16x8_sunrgbd-3d-10class/votenet_16x8_sunrgbd-3d-10class_20200620_230238-4483c0c0.pth) | [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/votenet/votenet_16x8_sunrgbd-3d-10class/votenet_16x8_sunrgbd-3d-10class_20200620_230238.log.json)|
+|    [PointNet++](./votenet_16x8_sunrgbd-3d-10class.py)     |  3x    |8.1||59.78|35.77|[model](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/votenet/votenet_16x8_sunrgbd-3d-10class/votenet_16x8_sunrgbd-3d-10class_20210820_162823-bf11f014.pth) | [log](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/votenet/votenet_16x8_sunrgbd-3d-10class/votenet_16x8_sunrgbd-3d-10class_20210820_162823.log.json)|
 
 **Notice**: If your current mmdetection3d version >= 0.6.0, and you are using the checkpoints downloaded from the above links or using checkpoints trained with mmdetection3d version < 0.6.0, the checkpoints have to be first converted via [tools/model_converters/convert_votenet_checkpoints.py](../../tools/model_converters/convert_votenet_checkpoints.py):
 

configs/votenet/metafile.yml

@@ -25,9 +25,9 @@ Models:
       - Task: 3D Object Detection
         Dataset: SUNRGBD
         Metrics:
-          AP@0.25: 59.07
+          AP@0.25: 59.78
           AP@0.5: 35.77
-    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/votenet/votenet_16x8_sunrgbd-3d-10class/votenet_16x8_sunrgbd-3d-10class_20200620_230238-4483c0c0.pth
+    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/votenet/votenet_16x8_sunrgbd-3d-10class/votenet_16x8_sunrgbd-3d-10class_20210820_162823-bf11f014.pth
 
   - Name: votenet_8x8_scannet-3d-18class.py
     In Collection: VoteNet
@@ -39,9 +39,9 @@ Models:
       - Task: 3D Object Detection
         Dataset: ScanNet
         Metrics:
-          AP@0.25: 62.90
-          AP@0.5: 39.91
-    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/votenet/votenet_8x8_scannet-3d-18class/votenet_8x8_scannet-3d-18class_20200620_230238-2cea9c3a.pth
+          AP@0.25: 62.34
+          AP@0.5: 40.82
+    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/votenet/votenet_8x8_scannet-3d-18class/votenet_8x8_scannet-3d-18class_20210823_234503-cf8134fa.pth
 
   - Name: votenet_iouloss_8x8_scannet-3d-18class
     In Collection: VoteNet

docs/en/changelog.md

@@ -5,7 +5,32 @@
 #### Compatibility
 
 - We migrate all the mmdet3d ops to mmcv and do not need to compile them when installing mmdet3d.
-- To fix the unprecise timestamp and optimize its saving method, we reformat the point cloud data during Waymo data conversion. The data conversion time is also optimized significantly by supporting parallel processing. Please re-generate KITTI format Waymo data if necessary. See more details in the [compatibility documentation](https://github.com/open-mmlab/mmdetection3d/blob/master/docs/en/compatibility.md).
+- To fix the imprecise timestamp and optimize its saving method, we reformat the point cloud data during Waymo data conversion. The data conversion time is also optimized significantly by supporting parallel processing. Please re-generate KITTI format Waymo data if necessary. See more details in the [compatibility documentation](https://github.com/open-mmlab/mmdetection3d/blob/master/docs/en/compatibility.md).
+- We update some of the model checkpoints after the refactor of coordinate systems. Please stay tuned for the release of the remaining model checkpoints.
+
+|        | Fully Updated   | Partially Updated  |  In Progress  | No Influcence |
+|--------------------|:-------------:|:--------:| :-----------: | :-----------: |
+| SECOND                  |          | ✓        |               |               |
+| PointPillars            |          | ✓        |               |               |
+| FreeAnchor              | ✓        |          |               |               |
+| VoteNet                 | ✓        |          |               |               |
+| H3DNet                  | ✓        |          |               |               |
+| 3DSSD                   |          | ✓        |               |               |
+| Part-A2                 | ✓        |          |               |               |
+| MVXNet                  | ✓        |          |               |               |
+| CenterPoint             |          |          |✓              |               |
+| SSN                     | ✓        |          |               |               |
+| ImVoteNet               | ✓        |          |               |               |
+| FCOS3D                  |          |          |               |✓              |
+| PointNet++              |          |          |               |✓              |
+| Group-Free-3D           |          |          |               |✓              |
+| ImVoxelNet              | ✓        |          |               |               |
+| PAConv                  |          |          |               |✓              |
+| DGCNN                   |          |          |               |✓              |
+| SMOKE                   |          |          |               |✓              |
+| PGD                     |          |          |               |✓              |
+| MonoFlex                |          |          |               |✓              |
+
 
 #### Highlights
 
@@ -41,7 +66,7 @@
 - Fix unit tests that use GPUs (#1301)
 - Fix incorrect feature dimensions in `DynamicPillarFeatureNet` caused by previous upgrading of `PillarFeatureNet` (#1302)
 - Remove the `CameraPoints` constraint in `PointSample` (#1314)
-- Fix unprecise timestamps saving of Waymo dataset (#1327)
+- Fix imprecise timestamps saving of Waymo dataset (#1327)
 
 #### Contributors