metafile.yml 3.9 KB
Newer Older
1
2
3
4
5
6
7
8
Collections:
  - Name: PointNet++
    Metadata:
      Training Techniques:
        - Adam
      Training Resources: 2x Titan XP GPUs
      Architecture:
        - PointNet++
dingchang's avatar
dingchang committed
9
10
11
    Paper:
      URL: https://arxiv.org/abs/1706.02413
      Title: 'PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space'
12
    README: configs/pointnet2/README.md
dingchang's avatar
dingchang committed
13
14
15
    Code:
      URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/backbones/pointnet2_sa_ssg.py#L12
      Version: v0.14.0
16
17

Models:
18
  - Name: pointnet2_ssg_2xb16-cosine-200e_scannet-seg-xyz-only
19
    In Collection: PointNet++
Xiang Xu's avatar
Xiang Xu committed
20
    Config: configs/pointnet2/pointnet2_ssg_2xb16-cosine-200e_scannet-seg-xyz-only.py
21
22
23
24
25
26
27
28
29
30
    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

31
  - Name: pointnet2_ssg_2xb16-cosine-200e_scannet-seg
32
    In Collection: PointNet++
Xiang Xu's avatar
Xiang Xu committed
33
    Config: configs/pointnet2/pointnet2_ssg_2xb16-cosine-200e_scannet-seg.py
34
35
36
37
38
39
40
41
42
43
    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

44
  - Name: pointnet2_msg_2xb16-cosine-250e_scannet-seg-xyz-only
45
    In Collection: PointNet++
Xiang Xu's avatar
Xiang Xu committed
46
    Config: configs/pointnet2/pointnet2_msg_2xb16-cosine-250e_scannet-seg-xyz-only.py
47
48
49
50
51
52
53
54
55
56
    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

57
  - Name: pointnet2_msg_2xb16-cosine-250e_scannet-seg
58
    In Collection: PointNet++
Xiang Xu's avatar
Xiang Xu committed
59
    Config: configs/pointnet2/pointnet2_msg_2xb16-cosine-250e_scannet-seg.py
60
61
62
63
64
65
66
67
68
69
    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

70
  - Name: pointnet2_ssg_2xb16-cosine-50e_s3dis-seg
71
    In Collection: PointNet++
Xiang Xu's avatar
Xiang Xu committed
72
    Config: configs/pointnet2/pointnet2_ssg_2xb16-cosine-50e_s3dis-seg.py
73
74
75
76
77
78
79
80
81
82
    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

83
  - Name: pointnet2_msg_2xb16-cosine-80e_s3dis-seg
84
    In Collection: PointNet++
Xiang Xu's avatar
Xiang Xu committed
85
    Config: configs/pointnet2/pointnet2_msg_2xb16-cosine-80e_s3dis-seg.py
86
87
88
89
90
91
92
93
94
    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