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