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Models:
- Name: pointpillars_hv_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d
In Collection: PointPillars
Config: configs/regnet/pointpillars_hv_regnet-400mf_secfpn_sbn-all_8xb4-2x_nus-3d.py
Metadata:
Training Data: nuScenes
Training Memory (GB): 16.4
Architecture:
- RegNetX
- Hard Voxelization
Results:
- Task: 3D Object Detection
Dataset: nuScenes
Metrics:
mAP: 41.2
NDS: 55.2
Weights: 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
- Name: pointpillars_hv_regnet-400mf_fpn_sbn-all_8xb4-2x_nus-3d
In Collection: PointPillars
Config: configs/regnet/pointpillars_hv_regnet-400mf_fpn_sbn-all_8xb4-2x_nus-3d.py
Metadata:
Training Data: nuScenes
Training Memory (GB): 17.3
Architecture:
- RegNetX
- Hard Voxelization
Results:
- Task: 3D Object Detection
Dataset: nuScenes
Metrics:
mAP: 44.8
NDS: 56.4
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_fpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_regnet-400mf_fpn_sbn-all_4x8_2x_nus-3d_20200620_230239-c694dce7.pth
- Name: pointpillars_hv_regnet-1.6gf_fpn_sbn-all_8xb4-2x_nus-3d
In Collection: PointPillars
Config: configs/regnet/pointpillars_hv_regnet-1.6gf_fpn_sbn-all_8xb4-2x_nus-3d.py
Metadata:
Training Data: nuScenes
Training Memory (GB): 24.0
Architecture:
- RegNetX
- Hard Voxelization
Results:
- Task: 3D Object Detection
Dataset: nuScenes
Metrics:
mAP: 48.2
NDS: 59.3
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-1.6gf_fpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_regnet-1.6gf_fpn_sbn-all_4x8_2x_nus-3d_20200629_050311-dcd4e090.pth
- Name: pointpillars_hv_regnet-400mf_secfpn_sbn-all_2x8_2x_lyft-3d
In Collection: PointPillars
Config: configs/regnet/pointpillars_hv_regnet-400mf_secfpn_sbn-all_2x8_2x_lyft-3d.py
Metadata:
Training Data: Lyft
Training Memory (GB): 15.9
Architecture:
- RegNetX
- Hard Voxelization
Results:
- Task: 3D Object Detection
Dataset: Lyft
Metrics:
Private Score: 14.9
Public Score: 15.1
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_regnet-400mf_secfpn_sbn-all_2x8_2x_lyft-3d_20210524_092151-42513826.pth
- Name: pointpillars_hv_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d
In Collection: PointPillars
Config: configs/regnet/pointpillars_hv_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d.py
Metadata:
Training Data: Lyft
Training Memory (GB): 13.0
Architecture:
- RegNetX
- Hard Voxelization
Results:
- Task: 3D Object Detection
Dataset: Lyft
Metrics:
Private Score: 16.0
Public Score: 16.1
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d_20210521_115618-823dcf18.pth
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