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Collections:
- Name: SECOND
Metadata:
Training Techniques:
- AdamW
Architecture:
- Hard Voxelization
Paper:
URL: https://www.mdpi.com/1424-8220/18/10/3337
Title: 'SECOND: Sparsely Embedded Convolutional Detection'
README: configs/second/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/backbones/second.py#L11
Version: v0.5.0
Models:
- Name: second_hv_secfpn_8xb6-80e_kitti-3d-car
In Collection: SECOND
Config: configs/second/second_hv_secfpn_8xb6-80e_kitti-3d-car.py
Metadata:
Training Data: KITTI
Training Memory (GB): 5.4
Training Resources: 8x V100 GPUs
Results:
- Task: 3D Object Detection
Dataset: KITTI
Metrics:
mAP: 78.2
Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/second/second_hv_secfpn_8xb6-80e_kitti-3d-car/second_hv_secfpn_8xb6-80e_kitti-3d-car-75d9305e.pth
- Name: second_hv_secfpn_8xb6-80e_kitti-3d-3class
In Collection: SECOND
Config: configs/second/second_hv_secfpn_8xb6-80e_kitti-3d-3class.py
Metadata:
Training Data: KITTI
Training Memory (GB): 5.4
Training Resources: 8x V100 GPUs
Results:
- Task: 3D Object Detection
Dataset: KITTI
Metrics:
mAP: 65.3
Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/second/second_hv_secfpn_8xb6-80e_kitti-3d-3class/second_hv_secfpn_8xb6-80e_kitti-3d-3class-b086d0a3.pth
- Name: second_hv_secfpn_sbn-all_16xb2-2x_waymoD5-3d-3class
In Collection: SECOND
Config: configs/second/second_hv_secfpn_sbn-all_16xb2-2x_waymoD5-3d-3class.py
Metadata:
Training Data: Waymo
Training Memory (GB): 8.12
Training Resources: 8x GeForce GTX 1080 Ti
Results:
- Task: 3D Object Detection
Dataset: Waymo
Metrics:
mAP@L1: 65.3
mAPH@L1: 61.7
mAP@L2: 58.9
mAPH@L2: 55.7
- Name: second_hv_secfpn_8xb6-amp-80e_kitti-3d-car
In Collection: SECOND
Config: configs/second/second_hv_secfpn_8xb6-amp-80e_kitti-3d-car.py
Metadata:
Training Techniques:
- AdamW
- Mixed Precision Training
Training Resources: 8x TITAN Xp
Training Data: KITTI
Training Memory (GB): 2.9
Results:
- Task: 3D Object Detection
Dataset: KITTI
Metrics:
mAP: 78.72
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-car/hv_second_secfpn_fp16_6x8_80e_kitti-3d-car_20200924_211301-1f5ad833.pth
Code:
Version: v0.7.0
- Name: second_hv_secfpn_8xb6-amp-80e_kitti-3d-3class
In Collection: SECOND
Config: configs/second/second_hv_secfpn_8xb6-amp-80e_kitti-3d-3class.py
Metadata:
Training Techniques:
- AdamW
- Mixed Precision Training
Training Resources: 8x TITAN Xp
Training Data: KITTI
Training Memory (GB): 2.9
Results:
- Task: 3D Object Detection
Dataset: KITTI
Metrics:
mAP: 67.4
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class_20200925_110059-05f67bdf.pth
Code:
Version: v0.7.0
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