File size: 1,000 Bytes
c2ca15f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 |
Collections:
- Name: PV-RCNN
Metadata:
Training Data: KITTI
Training Techniques:
- AdamW
Training Resources: 8x A100 GPUs
Architecture:
- Feature Pyramid Network
Paper:
URL: https://arxiv.org/abs/1912.13192
Title: 'PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection'
README: configs/pv_rcnn/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection3d/blob/dev-1.x/mmdet3d/models/detectors/pv_rcnn.py#L12
Version: v1.1.0rc2
Models:
- Name: pv_rcnn_8xb2-80e_kitti-3d-3class
In Collection: PV-RCNN
Config: configs/pv_rcnn/pv_rcnn_8xb2-80e_kitti-3d-3class.py
Metadata:
Training Memory (GB): 5.4
Results:
- Task: 3D Object Detection
Dataset: KITTI
Metrics:
mAP: 72.28
Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/pv_rcnn/pv_rcnn_8xb2-80e_kitti-3d-3class/pv_rcnn_8xb2-80e_kitti-3d-3class_20221117_234428-b384d22f.pth
|