| Collections: | |
| - Name: SSN | |
| Metadata: | |
| Training Techniques: | |
| - AdamW | |
| Training Resources: 8x GeForce GTX 1080 Ti | |
| Architecture: | |
| - Hard Voxelization | |
| Paper: | |
| URL: https://arxiv.org/abs/2004.02774 | |
| Title: 'SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds' | |
| README: configs/ssn/README.md | |
| Code: | |
| URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/dense_heads/shape_aware_head.py#L166 | |
| Version: v0.7.0 | |
| Models: | |
| - Name: hv_ssn_secfpn_sbn-all_16xb2-2x_nus-3d | |
| In Collection: SSN | |
| Config: configs/ssn/ssn_hv_secfpn_sbn-all_16xb2-2x_nus-3d.py | |
| Metadata: | |
| Training Data: nuScenes | |
| Training Memory (GB): 3.6 | |
| Results: | |
| - Task: 3D Object Detection | |
| Dataset: nuScenes | |
| Metrics: | |
| mAP: 40.91 | |
| NDS: 54.44 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d_20210830_101351-51915986.pth | |
| - Name: hv_ssn_regnet-400mf_secfpn_sbn-all_16xb2-2x_nus-3d | |
| In Collection: SSN | |
| Config: configs/ssn/ssn_hv_regnet-400mf_secfpn_sbn-all_16xb2-2x_nus-3d.py | |
| Metadata: | |
| Training Data: nuScenes | |
| Training Memory (GB): 5.1 | |
| Results: | |
| - Task: 3D Object Detection | |
| Dataset: nuScenes | |
| Metrics: | |
| mAP: 46.65 | |
| NDS: 58.24 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d_20210829_210615-361e5e04.pth | |
| - Name: hv_ssn_secfpn_sbn-all_16xb2-2x_lyft-3d | |
| In Collection: SSN | |
| Config: configs/ssn/ssn_hv_secfpn_sbn-all_16xb2-2x_lyft-3d.py | |
| Metadata: | |
| Training Data: Lyft | |
| Training Memory (GB): 8.5 | |
| Results: | |
| - Task: 3D Object Detection | |
| Dataset: Lyft | |
| Metrics: | |
| Private Score: 17.5 | |
| Public Score: 17.5 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d/hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d_20210822_134731-46841b41.pth | |
| - Name: hv_ssn_regnet-400mf_secfpn_sbn-all_16xb1-2x_lyft-3d | |
| In Collection: SSN | |
| Config: configs/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_16xb1-2x_lyft-3d.py | |
| Metadata: | |
| Training Data: Lyft | |
| Training Memory (GB): 7.4 | |
| Results: | |
| - Task: 3D Object Detection | |
| Dataset: Lyft | |
| Metrics: | |
| Private Score: 17.9 | |
| Public Score: 18.0 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_1x16_2x_lyft-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_1x16_2x_lyft-3d_20210829_122825-d93475a1.pth | |