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Collections:
- Name: Dynamic Voxelization
Metadata:
Training Data: KITTI
Training Techniques:
- AdamW
Training Resources: 8x V100 GPUs
Architecture:
- Dynamic Voxelization
Paper:
URL: https://arxiv.org/abs/1910.06528
Title: 'End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds'
README: configs/dynamic_voxelization/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/dynamic_voxelnet.py#L11
Version: v0.5.0
Models:
- Name: dv_second_secfpn_6x8_80e_kitti-3d-car
In Collection: Dynamic Voxelization
Config: configs/dynamic_voxelization/second_dv_secfpn_8xb6-80e_kitti-3d-car.py
Metadata:
Training Memory (GB): 5.5
Results:
- Task: 3D Object Detection
Dataset: KITTI
Metrics:
mAP: 78.83
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/dynamic_voxelization/dv_second_secfpn_6x8_80e_kitti-3d-car/dv_second_secfpn_6x8_80e_kitti-3d-car_20200620_235228-ac2c1c0c.pth
- Name: dv_second_secfpn_2x8_cosine_80e_kitti-3d-3class
In Collection: Dynamic Voxelization
Config: configs/dynamic_voxelization/second_dv_secfpn_8xb2-cosine-80e_kitti-3d-3class.py
Metadata:
Training Memory (GB): 5.5
Results:
- Task: 3D Object Detection
Dataset: KITTI
Metrics:
mAP: 65.27
Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/dynamic_voxelization/dv_second_secfpn_2x8_cosine_80e_kitti-3d-3class/dv_second_secfpn_2x8_cosine_80e_kitti-3d-3class_20210831_054106-e742d163.pth
- Name: dv_pointpillars_secfpn_6x8_160e_kitti-3d-car
In Collection: Dynamic Voxelization
Config: configs/dynamic_voxelization/pointpillars_dv_secfpn_8xb6-160e_kitti-3d-car.py
Metadata:
Training Memory (GB): 4.7
Results:
- Task: 3D Object Detection
Dataset: KITTI
Metrics:
mAP: 77.76
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/dynamic_voxelization/dv_pointpillars_secfpn_6x8_160e_kitti-3d-car/dv_pointpillars_secfpn_6x8_160e_kitti-3d-car_20200620_230844-ee7b75c9.pth
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