metafile.yml 2.25 KB
Newer Older
renzhc's avatar
renzhc committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Collections:
  - Name: MobileViT
    Metadata:
      Training Data: ImageNet-1k
      Architecture:
        - MobileViT Block
    Paper:
      URL: https://arxiv.org/abs/2110.02178
      Title: MobileViT Light-weight, General-purpose, and Mobile-friendly Vision Transformer
    README: configs/mobilevit/README.md

Models:
  - Name: mobilevit-small_3rdparty_in1k
    Metadata:
      FLOPs: 2030000000
      Parameters: 5580000
    In Collection: MobileViT
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 78.25
          Top 5 Accuracy: 94.09
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/mobilevit/mobilevit-small_3rdparty_in1k_20221018-cb4f741c.pth
    Config: configs/mobilevit/mobilevit-small_8xb128_in1k.py
    Converted From:
      Weights: https://docs-assets.developer.apple.com/ml-research/models/cvnets/classification/mobilevit_s.pt
      Code: https://github.com/apple/ml-cvnets
  - Name: mobilevit-xsmall_3rdparty_in1k
    Metadata:
      FLOPs: 1050000000
      Parameters: 2320000
    In Collection: MobileViT
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 74.75
          Top 5 Accuracy: 92.32
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/mobilevit/mobilevit-xsmall_3rdparty_in1k_20221018-be39a6e7.pth
    Config: configs/mobilevit/mobilevit-xsmall_8xb128_in1k.py
    Converted From:
      Weights: https://docs-assets.developer.apple.com/ml-research/models/cvnets/classification/mobilevit_xs.pt
      Code: https://github.com/apple/ml-cvnets
  - Name: mobilevit-xxsmall_3rdparty_in1k
    Metadata:
      FLOPs: 420000000
      Parameters: 1270000
    In Collection: MobileViT
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 69.02
          Top 5 Accuracy: 88.91
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/mobilevit/mobilevit-xxsmall_3rdparty_in1k_20221018-77835605.pth
    Config: configs/mobilevit/mobilevit-xxsmall_8xb128_in1k.py
    Converted From:
      Weights: https://docs-assets.developer.apple.com/ml-research/models/cvnets/classification/mobilevit_xxs.pt
      Code: https://github.com/apple/ml-cvnets