Skip to content

GitLab

Switch branch/tag
Find file Normal viewHistoryPermalink
metafile.yml 4.3 KB
Newer Older
renzhc's avatar
first commit  
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
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115 
Collections:
  - Name: HorNet
    Metadata:
      Training Data: ImageNet-1k
      Training Techniques:
        - AdamW
        - Weight Decay
      Architecture:
        - HorNet
        - gnConv
    Paper:
      URL: https://arxiv.org/abs/2207.14284
      Title: "HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions"
    README: configs/hornet/README.md
    Code:
      Version: v0.24.0
      URL: https://github.com/open-mmlab/mmpretrain/blob/v0.24.0/mmcls/models/backbones/hornet.py

Models:
  - Name: hornet-tiny_3rdparty_in1k
    Metadata:
      FLOPs: 3976156352   # 3.98G
      Parameters: 22409512      # 22.41M
    In Collection: HorNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.84
          Top 5 Accuracy: 96.24
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-tiny_3rdparty_in1k_20220915-0e8eedff.pth
    Config: configs/hornet/hornet-tiny_8xb128_in1k.py
    Converted From:
      Code: https://github.com/raoyongming/HorNet
      Weights: https://cloud.tsinghua.edu.cn/f/1ca970586c6043709a3f/?dl=1
  - Name: hornet-tiny-gf_3rdparty_in1k
    Metadata:
      FLOPs: 3896472160   # 3.9G
      Parameters: 22991848      # 22.99M
    In Collection: HorNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.98
          Top 5 Accuracy: 96.38
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-tiny-gf_3rdparty_in1k_20220915-4c35a66b.pth
    Config: configs/hornet/hornet-tiny-gf_8xb128_in1k.py
    Converted From:
      Code: https://github.com/raoyongming/HorNet
      Weights: https://cloud.tsinghua.edu.cn/f/511faad0bde94dfcaa54/?dl=1
  - Name: hornet-small_3rdparty_in1k
    Metadata:
      FLOPs:  8825621280    # 8.83G
      Parameters: 49528264          # 49.53M
    In Collection: HorNet
    Results:
        - Dataset: ImageNet-1k
          Metrics:
            Top 1 Accuracy: 83.79
            Top 5 Accuracy: 96.75
          Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-small_3rdparty_in1k_20220915-5935f60f.pth
    Config: configs/hornet/hornet-small_8xb64_in1k.py
    Converted From:
      Code: https://github.com/raoyongming/HorNet
      Weights: https://cloud.tsinghua.edu.cn/f/46422799db2941f7b684/?dl=1
  - Name: hornet-small-gf_3rdparty_in1k
    Metadata:
      FLOPs:  8706094992    # 8.71G
      Parameters: 50401768          # 50.4M
    In Collection: HorNet
    Results:
        - Dataset: ImageNet-1k
          Metrics:
            Top 1 Accuracy: 83.98
            Top 5 Accuracy: 96.77
          Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-small-gf_3rdparty_in1k_20220915-649ca492.pth
    Config: configs/hornet/hornet-small-gf_8xb64_in1k.py
    Converted From:
      Code: https://github.com/raoyongming/HorNet
      Weights: https://cloud.tsinghua.edu.cn/f/8405c984bf084d2ba85a/?dl=1
  - Name: hornet-base_3rdparty_in1k
    Metadata:
      FLOPs: 15582677376              # 15.59G
      Parameters: 87256680            # 87.26M
    In Collection: HorNet
    Results:
        - Dataset: ImageNet-1k
          Metrics:
            Top 1 Accuracy: 84.24
            Top 5 Accuracy: 96.94
          Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-base_3rdparty_in1k_20220915-a06176bb.pth
    Config: configs/hornet/hornet-base_8xb64_in1k.py
    Converted From:
      Code: https://github.com/raoyongming/HorNet
      Weights: https://cloud.tsinghua.edu.cn/f/5c86cb3d655d4c17a959/?dl=1
  - Name: hornet-base-gf_3rdparty_in1k
    Metadata:
      FLOPs: 15423308992              # 15.42G
      Parameters: 88421352            # 88.42M
    In Collection: HorNet
    Results:
        - Dataset: ImageNet-1k
          Metrics:
            Top 1 Accuracy: 84.32
            Top 5 Accuracy: 96.95
          Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-base-gf_3rdparty_in1k_20220915-82c06fa7.pth
    Config: configs/hornet/hornet-base-gf_8xb64_in1k.py
    Converted From:
      Code: https://github.com/raoyongming/HorNet
      Weights: https://cloud.tsinghua.edu.cn/f/6c84935e63b547f383fb/?dl=1