| Collections: | |
| - Name: PointNet++ | |
| Metadata: | |
| Training Techniques: | |
| - Adam | |
| Training Resources: 2x Titan XP GPUs | |
| Architecture: | |
| - PointNet++ | |
| Paper: | |
| URL: https://arxiv.org/abs/1706.02413 | |
| Title: 'PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space' | |
| README: configs/pointnet2/README.md | |
| Code: | |
| URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/backbones/pointnet2_sa_ssg.py#L12 | |
| Version: v0.14.0 | |
| Models: | |
| - Name: pointnet2_ssg_2xb16-cosine-200e_scannet-seg-xyz-only | |
| In Collection: PointNet++ | |
| Config: configs/pointnet2/pointnet2_ssg_2xb16-cosine-200e_scannet-seg-xyz-only.py | |
| Metadata: | |
| Training Data: ScanNet | |
| Training Memory (GB): 1.9 | |
| Results: | |
| - Task: 3D Semantic Segmentation | |
| Dataset: ScanNet | |
| Metrics: | |
| mIoU: 53.91 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_ssg_xyz-only_16x2_cosine_200e_scannet_seg-3d-20class/pointnet2_ssg_xyz-only_16x2_cosine_200e_scannet_seg-3d-20class_20210514_143628-4e341a48.pth | |
| - Name: pointnet2_ssg_2xb16-cosine-200e_scannet-seg | |
| In Collection: PointNet++ | |
| Config: configs/pointnet2/pointnet2_ssg_2xb16-cosine-200e_scannet-seg.py | |
| Metadata: | |
| Training Data: ScanNet | |
| Training Memory (GB): 1.9 | |
| Results: | |
| - Task: 3D Semantic Segmentation | |
| Dataset: ScanNet | |
| Metrics: | |
| mIoU: 54.44 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_ssg_16x2_cosine_200e_scannet_seg-3d-20class/pointnet2_ssg_16x2_cosine_200e_scannet_seg-3d-20class_20210514_143644-ee73704a.pth | |
| - Name: pointnet2_msg_2xb16-cosine-250e_scannet-seg-xyz-only | |
| In Collection: PointNet++ | |
| Config: configs/pointnet2/pointnet2_msg_2xb16-cosine-250e_scannet-seg-xyz-only.py | |
| Metadata: | |
| Training Data: ScanNet | |
| Training Memory (GB): 2.4 | |
| Results: | |
| - Task: 3D Semantic Segmentation | |
| Dataset: ScanNet | |
| Metrics: | |
| mIoU: 54.26 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_msg_xyz-only_16x2_cosine_250e_scannet_seg-3d-20class/pointnet2_msg_xyz-only_16x2_cosine_250e_scannet_seg-3d-20class_20210514_143838-b4a3cf89.pth | |
| - Name: pointnet2_msg_2xb16-cosine-250e_scannet-seg | |
| In Collection: PointNet++ | |
| Config: configs/pointnet2/pointnet2_msg_2xb16-cosine-250e_scannet-seg.py | |
| Metadata: | |
| Training Data: ScanNet | |
| Training Memory (GB): 2.4 | |
| Results: | |
| - Task: 3D Semantic Segmentation | |
| Dataset: ScanNet | |
| Metrics: | |
| mIoU: 55.05 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_msg_16x2_cosine_250e_scannet_seg-3d-20class/pointnet2_msg_16x2_cosine_250e_scannet_seg-3d-20class_20210514_144009-24477ab1.pth | |
| - Name: pointnet2_ssg_2xb16-cosine-50e_s3dis-seg | |
| Alias: pointnet2-ssg_s3dis-seg | |
| In Collection: PointNet++ | |
| Config: configs/pointnet2/pointnet2_ssg_2xb16-cosine-50e_s3dis-seg.py | |
| Metadata: | |
| Training Data: S3DIS | |
| Training Memory (GB): 3.6 | |
| Results: | |
| - Task: 3D Semantic Segmentation | |
| Dataset: S3DIS | |
| Metrics: | |
| mIoU: 56.93 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_ssg_16x2_cosine_50e_s3dis_seg-3d-13class/pointnet2_ssg_16x2_cosine_50e_s3dis_seg-3d-13class_20210514_144205-995d0119.pth | |
| - Name: pointnet2_msg_2xb16-cosine-80e_s3dis-seg | |
| In Collection: PointNet++ | |
| Config: configs/pointnet2/pointnet2_msg_2xb16-cosine-80e_s3dis-seg.py | |
| Metadata: | |
| Training Data: S3DIS | |
| Training Memory (GB): 3.6 | |
| Results: | |
| - Task: 3D Semantic Segmentation | |
| Dataset: S3DIS | |
| Metrics: | |
| mIoU: 58.04 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_msg_16x2_cosine_80e_s3dis_seg-3d-13class/pointnet2_msg_16x2_cosine_80e_s3dis_seg-3d-13class_20210514_144307-b2059817.pth | |