Skip to content

GitLab

Switch branch/tag
Find file Normal viewHistoryPermalink
metafile.yml 11.6 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
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255 
Collections:
  - Name: EfficientNetV2
    Metadata:
      Training Data: ImageNet-1k
      Architecture:
        - 1x1 Convolution
        - Average Pooling
        - Convolution
        - Dense Connections
        - Dropout
        - Inverted Residual Block
        - RMSProp
        - Squeeze-and-Excitation Block
        - Swish
    Paper:
      URL: https://arxiv.org/abs/2104.00298
      Title: "EfficientNetV2: Smaller Models and Faster Training"
    README: configs/efficientnet_v2/README.md
    Code:
      URL: https://github.com/open-mmlab/mmpretrain/blob/main/mmpretrain/models/backbones/beit.py
      Version: v1.0.0rc4

Models:
  - Name: efficientnetv2-b0_3rdparty_in1k
    Metadata:
      FLOPs: 919843360
      Parameters: 7139704
    In Collection: EfficientNetV2
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 78.52
          Top 5 Accuracy: 94.44
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-b0_3rdparty_in1k_20221221-9ef6e736.pth
    Config: configs/efficientnet_v2/efficientnetv2-b0_8xb32_in1k.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_b0-c7cc451f.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
  - Name: efficientnetv2-b1_3rdparty_in1k
    Metadata:
      FLOPs: 1438287552
      Parameters: 8141052
    In Collection: EfficientNetV2
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 79.80
          Top 5 Accuracy: 94.89
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-b1_3rdparty_in1k_20221221-6955d9ce.pth
    Config: configs/efficientnet_v2/efficientnetv2-b1_8xb32_in1k.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_b1-be6e41b0.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
  - Name: efficientnetv2-b2_3rdparty_in1k
    Metadata:
      FLOPs: 1986433080
      Parameters: 10096086
    In Collection: EfficientNetV2
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 80.63
          Top 5 Accuracy: 95.30
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-b2_3rdparty_in1k_20221221-74f7d493.pth
    Config: configs/efficientnet_v2/efficientnetv2-b2_8xb32_in1k.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_b2-847de54e.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
  - Name: efficientnetv2-b3_3rdparty_in1k
    Metadata:
      FLOPs: 3498068400
      Parameters: 14358406
    In Collection: EfficientNetV2
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.03
          Top 5 Accuracy: 95.88
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-b3_3rdparty_in1k_20221221-b6f07a36.pth
    Config: configs/efficientnet_v2/efficientnetv2-b3_8xb32_in1k.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_b3-57773f13.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
  - Name: efficientnetv2-s_3rdparty_in1k
    Metadata:
      FLOPs: 9719420928
      Parameters: 21458488
    In Collection: EfficientNetV2
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 83.82
          Top 5 Accuracy: 96.67
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-s_3rdparty_in1k_20221220-f0eaff9d.pth
    Config: configs/efficientnet_v2/efficientnetv2-s_8xb32_in1k-384px.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_s-eb54923e.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
  - Name: efficientnetv2-m_3rdparty_in1k
    Metadata:
      FLOPs: 26880363584
      Parameters: 54139356
    In Collection: EfficientNetV2
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 85.01
          Top 5 Accuracy: 97.26
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-m_3rdparty_in1k_20221220-9dc0c729.pth
    Config: configs/efficientnet_v2/efficientnetv2-m_8xb32_in1k-480px.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_m-cc09e0cd.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
  - Name: efficientnetv2-l_3rdparty_in1k
    Metadata:
      FLOPs: 60142387008
      Parameters: 118515272
    In Collection: EfficientNetV2
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 85.43
          Top 5 Accuracy: 97.31
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-l_3rdparty_in1k_20221220-5c3bac0f.pth
    Config: configs/efficientnet_v2/efficientnetv2-l_8xb32_in1k-480px.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_l-d664b728.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
  - Name: efficientnetv2-s_in21k-pre_3rdparty_in1k
    Metadata:
      Training Data:
        - ImageNet-21k
        - ImageNet-1k
      FLOPs: 9719420928
      Parameters: 21458488
    In Collection: EfficientNetV2
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 84.29
          Top 5 Accuracy: 97.26
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-s_in21k-pre-3rdparty_in1k_20221220-7a7c8475.pth
    Config: configs/efficientnet_v2/efficientnetv2-s_8xb32_in1k-384px.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_s_21ft1k-d7dafa41.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
  - Name: efficientnetv2-m_in21k-pre_3rdparty_in1k
    Metadata:
      Training Data:
        - ImageNet-21k
        - ImageNet-1k
      FLOPs: 26880363584
      Parameters: 54139356
    In Collection: EfficientNetV2
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 85.47
          Top 5 Accuracy: 97.76
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-m_in21k-pre-3rdparty_in1k_20221220-a1013a04.pth
    Config: configs/efficientnet_v2/efficientnetv2-m_8xb32_in1k-480px.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_m_21ft1k-bf41664a.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
  - Name: efficientnetv2-l_in21k-pre_3rdparty_in1k
    Metadata:
      Training Data:
        - ImageNet-21k
        - ImageNet-1k
      FLOPs: 60142387008
      Parameters: 118515272
    In Collection: EfficientNetV2
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 86.31
          Top 5 Accuracy: 97.99
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-l_in21k-pre-3rdparty_in1k_20221220-63df0efd.pth
    Config: configs/efficientnet_v2/efficientnetv2-l_8xb32_in1k-480px.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_l_21ft1k-60127a9d.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
  - Name: efficientnetv2-xl_in21k-pre_3rdparty_in1k
    Metadata:
      Training Data:
        - ImageNet-21k
        - ImageNet-1k
      FLOPs: 98341230592
      Parameters: 208119808
    In Collection: EfficientNetV2
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 86.39
          Top 5 Accuracy: 97.83
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-xl_in21k-pre-3rdparty_in1k_20221220-583ac18b.pth
    Config: configs/efficientnet_v2/efficientnetv2-xl_8xb32_in1k-512px.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_xl_in21ft1k-06c35c48.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
  - Name: efficientnetv2-s_3rdparty_in21k
    Metadata:
      FLOPs: 3309720768
      Parameters: 48158371
    In Collection: EfficientNetV2
    Results: null
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-s_3rdparty_in21k_20221220-c0572b56.pth
    Config: configs/efficientnet_v2/efficientnetv2-s_8xb32_in21k.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_s_21k-6337ad01.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
  - Name: efficientnetv2-m_3rdparty_in21k
    Metadata:
      FLOPs: 5861638208
      Parameters: 80839239
    In Collection: EfficientNetV2
    Results: null
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-m_3rdparty_in21k_20221220-073e944c.pth
    Config: configs/efficientnet_v2/efficientnetv2-m_8xb32_in21k.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_m_21k-361418a2.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
  - Name: efficientnetv2-l_3rdparty_in21k
    Metadata:
      FLOPs: 13114950464
      Parameters: 145215155
    In Collection: EfficientNetV2
    Results: null
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-l_3rdparty_in21k_20221220-f28f91e1.pth
    Config: configs/efficientnet_v2/efficientnetv2-l_8xb32_in21k.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_l_21k-91a19ec9.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
  - Name: efficientnetv2-xl_3rdparty_in21k
    Metadata:
      FLOPs: 18855244288
      Parameters: 234819691
    In Collection: EfficientNetV2
    Results: null
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-xl_3rdparty_in21k_20221220-b2c9329c.pth
    Config: configs/efficientnet_v2/efficientnetv2-xl_8xb32_in21k.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_xl_in21k-fd7e8abf.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py