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