| Collections: | |
| - Name: SPVCNN | |
| Metadata: | |
| Training Techniques: | |
| - AdamW | |
| Architecture: | |
| - SPVCNN | |
| Paper: | |
| URL: https://arxiv.org/abs/2007.16100 | |
| Title: 'Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution' | |
| README: configs/spvcnn/README.md | |
| Code: | |
| URL: https://github.com/open-mmlab/mmdetection3d/blob/1.1/mmdet3d/models/backbones/spvcnn_backone.py#L22 | |
| Version: v1.1.0 | |
| Models: | |
| - Name: spvcnn_w16_8xb2-amp-15e_semantickitti | |
| In Collection: SPVCNN | |
| Config: configs/spvcnn/spvcnn_w16_8xb2-amp-15e_semantickitti.py | |
| Metadata: | |
| Training Data: SemanticKITTI | |
| Training Memory (GB): 3.9 | |
| Training Resources: 8x A100 GPUs | |
| Results: | |
| - Task: 3D Semantic Segmentation | |
| Dataset: SemanticKITTI | |
| Metrics: | |
| mIOU: 61.7 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/spvcnn/spvcnn_w16_8xb2-15e_semantickitti/spvcnn_w16_8xb2-15e_semantickitti_20230321_011645-a2734d85.pth | |
| - Name: spvcnn_w20_8xb2-amp-15e_semantickitti | |
| In Collection: SPVCNN | |
| Config: configs/spvcnn/spvcnn_w20_8xb2-amp-15e_semantickitti.py | |
| Metadata: | |
| Training Data: SemanticKITTI | |
| Training Memory (GB): 4.2 | |
| Training Resources: 8x A100 GPUs | |
| Results: | |
| - Task: 3D Semantic Segmentation | |
| Dataset: SemanticKITTI | |
| Metrics: | |
| mIOU: 62.9 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/spvcnn/spvcnn_w20_8xb2-15e_semantickitti/spvcnn_w20_8xb2-15e_semantickitti_20230321_011649-519e7eff.pth | |
| - Name: spvcnn_w32_8xb2-amp-15e_semantickitti | |
| In Collection: SPVCNN | |
| Config: configs/spvcnn/spvcnn_w32_8xb2-amp-15e_semantickitti.py | |
| Metadata: | |
| Training Data: SemanticKITTI | |
| Training Memory (GB): 5.4 | |
| Training Resources: 8x A100 GPUs | |
| Results: | |
| - Task: 3D Semantic Segmentation | |
| Dataset: SemanticKITTI | |
| Metrics: | |
| mIOU: 64.3 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/spvcnn/spvcnn_w32_8xb2-15e_semantickitti/spvcnn_w32_8xb2-15e_semantickitti_20230308_113324-f7c0c5b4.pth | |
| - Name: spvcnn_w32_8xb2-amp-laser-polar-mix-3x_semantickitti | |
| In Collection: SPVCNN | |
| Config: configs/spvcnn/spvcnn_w32_8xb2-amp-laser-polar-mix-3x_semantickitti.py | |
| Metadata: | |
| Training Data: SemanticKITTI | |
| Training Memory (GB): 7.2 | |
| Training Resources: 8x A100 GPUs | |
| Results: | |
| - Task: 3D Semantic Segmentation | |
| Dataset: SemanticKITTI | |
| Metrics: | |
| mIOU: 64.3 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/spvcnn/spvcnn_w32_8xb2-amp-laser-polar-mix-3x_semantickitti_20230425_125908-d68a68b7.pth | |