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update README.md
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sshaoshuai committed Jul 28, 2020
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Expand Up @@ -87,9 +87,9 @@ All models are trained with 8 GTX 1080Ti GPUs and are available for download.
|---------------------------------------------|----------:|:-------:|:-------:|:-------:|:---------:|
| [PointPillar](tools/cfgs/kitti_models/pointpillar.yaml) |~1.5 hours| 77.28 | 52.29 | 62.68 | [model-18M](https://drive.google.com/file/d/1wMxWTpU1qUoY3DsCH31WJmvJxcjFXKlm/view?usp=sharing) |
| [SECOND](tools/cfgs/kitti_models/second.yaml) | ~2 hours | 78.62 | 52.98 | 67.15 | [model-20M](https://drive.google.com/file/d/1-01zsPOsqanZQqIIyy7FpNXStL3y4jdR/view?usp=sharing) |
| [PointRCNN](tools/cfgs/kitti_models/pointrcnn.yaml) | ~3 hours | 78.70 | 54.41 | 72.11 | ongoing|
| [PointRCNN-IoU](tools/cfgs/kitti_models/pointrcnn_iou.yaml) | ~3 hours | 78.75 | 58.32 | 71.34 | [model-]()|
| [Part-A^2-Free](tools/cfgs/kitti_models/PartA2_free.yaml) | ~4 hours| 78.72 | 65.99 | 74.29 | [model-](https://drive.google.com/file/d/10GK1aCkLqxGNeX3lVu8cLZyE0G8002hY/view?usp=sharing) |
| [PointRCNN](tools/cfgs/kitti_models/pointrcnn.yaml) | ~3 hours | 78.70 | 54.41 | 72.11 | [model-16M](https://drive.google.com/file/d/1BCX9wMn-GYAfSOPpyxf6Iv6fc0qKLSiU/view?usp=sharing)|
| [PointRCNN-IoU](tools/cfgs/kitti_models/pointrcnn_iou.yaml) | ~3 hours | 78.75 | 58.32 | 71.34 | [model-16M](https://drive.google.com/file/d/1V0vNZ3lAHpEEt0MlT80eL2f41K2tHm_D/view?usp=sharing)|
| [Part-A^2-Free](tools/cfgs/kitti_models/PartA2_free.yaml) | ~4 hours| 78.72 | 65.99 | 74.29 | [model-226M](https://drive.google.com/file/d/1lcUUxF8mJgZ_e-tZhP1XNQtTBuC-R0zr/view?usp=sharing) |
| [Part-A^2-Anchor](tools/cfgs/kitti_models/PartA2.yaml) | ~5 hours| 79.40 | 60.05 | 69.90 | [model-244M](https://drive.google.com/file/d/10GK1aCkLqxGNeX3lVu8cLZyE0G8002hY/view?usp=sharing) |
| [PV-RCNN](tools/cfgs/kitti_models/pv_rcnn.yaml) | ~6 hours| 83.61 | 57.90 | 70.47 | [model-50M](https://drive.google.com/file/d/1lIOq4Hxr0W3qsX83ilQv0nk1Cls6KAr-/view?usp=sharing) |

Expand All @@ -98,8 +98,8 @@ All models are trained with 8 GTX 1080Ti GPUs and are available for download.

| | mATE | mASE | mAOE | mAVE | mAAE | mAP | NDS | download |
|---------------------------------------------|----------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:---------:|
| [PointPillar-MultiHead](tools/cfgs/nuscenes_models/cbgs_pp_multihead.yaml) | 33.87 | 26.00 | 32.07 | 28.74 | 20.15 | 44.63 | 58.23 | [model-]() |
| [SECOND-MultiHead (CBGS)](tools/cfgs/nuscenes_models/cbgs_second_multihead.yaml) | 31.15 | 25.51 | 26.64 | 26.26 | 20.46 | 50.59 | 62.29 | [model-]() |
| [PointPillar-MultiHead](tools/cfgs/nuscenes_models/cbgs_pp_multihead.yaml) | 33.87 | 26.00 | 32.07 | 28.74 | 20.15 | 44.63 | 58.23 | [model-35M](https://drive.google.com/file/d/1s34D8g-h65qDyoYbgCraxcZQwinbxhaY/view?usp=sharing) |
| [SECOND-MultiHead (CBGS)](tools/cfgs/nuscenes_models/cbgs_second_multihead.yaml) | 31.15 | 25.51 | 26.64 | 26.26 | 20.46 | 50.59 | 62.29 | [model-23M](https://drive.google.com/file/d/1fnxKTUi79dSARhsREXR_UKnWs-83bgEV/view?usp=sharing) |


### Other datasets
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