metafile.yml 11 KB

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  1. Collections:
  2. - Name: DeiT3
  3. Metadata:
  4. Architecture:
  5. - Attention Dropout
  6. - Convolution
  7. - Dense Connections
  8. - Dropout
  9. - GELU
  10. - Layer Normalization
  11. - Multi-Head Attention
  12. - Scaled Dot-Product Attention
  13. - Tanh Activation
  14. Paper:
  15. URL: https://arxiv.org/abs/2204.07118
  16. Title: 'DeiT III: Revenge of the ViT'
  17. README: configs/deit3/README.md
  18. Code:
  19. URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc2/mmcls/models/backbones/deit3.py
  20. Version: v1.0.0rc2
  21. Models:
  22. - Name: deit3-small-p16_3rdparty_in1k
  23. In Collection: DeiT3
  24. Metadata:
  25. FLOPs: 4607954304
  26. Parameters: 22059496
  27. Training Data:
  28. - ImageNet-1k
  29. Results:
  30. - Dataset: ImageNet-1k
  31. Task: Image Classification
  32. Metrics:
  33. Top 1 Accuracy: 81.35
  34. Top 5 Accuracy: 95.31
  35. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-small-p16_3rdparty_in1k_20221008-0f7c70cf.pth
  36. Converted From:
  37. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_small_224_1k.pth
  38. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  39. Config: configs/deit3/deit3-small-p16_64xb64_in1k.py
  40. - Name: deit3-small-p16_3rdparty_in1k-384px
  41. In Collection: DeiT3
  42. Metadata:
  43. FLOPs: 15517663104
  44. Parameters: 22205416
  45. Training Data:
  46. - ImageNet-1k
  47. Results:
  48. - Dataset: ImageNet-1k
  49. Task: Image Classification
  50. Metrics:
  51. Top 1 Accuracy: 83.43
  52. Top 5 Accuracy: 96.68
  53. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-small-p16_3rdparty_in1k-384px_20221008-a2c1a0c7.pth
  54. Converted From:
  55. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_small_384_1k.pth
  56. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  57. Config: configs/deit3/deit3-small-p16_64xb64_in1k-384px.py
  58. - Name: deit3-small-p16_in21k-pre_3rdparty_in1k
  59. In Collection: DeiT3
  60. Metadata:
  61. FLOPs: 4607954304
  62. Parameters: 22059496
  63. Training Data:
  64. - ImageNet-21k
  65. Results:
  66. - Dataset: ImageNet-1k
  67. Task: Image Classification
  68. Metrics:
  69. Top 1 Accuracy: 83.06
  70. Top 5 Accuracy: 96.77
  71. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-small-p16_in21k-pre_3rdparty_in1k_20221009-dcd90827.pth
  72. Converted From:
  73. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_small_224_21k.pth
  74. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  75. Config: configs/deit3/deit3-small-p16_64xb64_in1k.py
  76. - Name: deit3-small-p16_in21k-pre_3rdparty_in1k-384px
  77. In Collection: DeiT3
  78. Metadata:
  79. FLOPs: 15517663104
  80. Parameters: 22205416
  81. Training Data:
  82. - ImageNet-21k
  83. Results:
  84. - Dataset: ImageNet-1k
  85. Task: Image Classification
  86. Metrics:
  87. Top 1 Accuracy: 84.84
  88. Top 5 Accuracy: 97.48
  89. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-small-p16_in21k-pre_3rdparty_in1k-384px_20221009-de116dd7.pth
  90. Converted From:
  91. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_small_384_21k.pth
  92. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  93. Config: configs/deit3/deit3-small-p16_64xb64_in1k-384px.py
  94. - Name: deit3-medium-p16_3rdparty_in1k
  95. In Collection: DeiT3
  96. Metadata:
  97. FLOPs: 8003064320
  98. Parameters: 38849512
  99. Training Data:
  100. - ImageNet-1k
  101. Results:
  102. - Dataset: ImageNet-1k
  103. Task: Image Classification
  104. Metrics:
  105. Top 1 Accuracy: 82.99
  106. Top 5 Accuracy: 96.22
  107. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-medium-p16_3rdparty_in1k_20221008-3b21284d.pth
  108. Converted From:
  109. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_medium_224_1k.pth
  110. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  111. Config: configs/deit3/deit3-medium-p16_64xb64_in1k.py
  112. - Name: deit3-medium-p16_in21k-pre_3rdparty_in1k
  113. In Collection: DeiT3
  114. Metadata:
  115. FLOPs: 8003064320
  116. Parameters: 38849512
  117. Training Data:
  118. - ImageNet-21k
  119. Results:
  120. - Dataset: ImageNet-1k
  121. Task: Image Classification
  122. Metrics:
  123. Top 1 Accuracy: 84.56
  124. Top 5 Accuracy: 97.19
  125. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-medium-p16_in21k-pre_3rdparty_in1k_20221009-472f11e2.pth
  126. Converted From:
  127. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_medium_224_21k.pth
  128. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  129. Config: configs/deit3/deit3-medium-p16_64xb64_in1k.py
  130. - Name: deit3-base-p16_3rdparty_in1k
  131. In Collection: DeiT3
  132. Metadata:
  133. FLOPs: 17581972224
  134. Parameters: 86585320
  135. Training Data:
  136. - ImageNet-1k
  137. Results:
  138. - Dataset: ImageNet-1k
  139. Task: Image Classification
  140. Metrics:
  141. Top 1 Accuracy: 83.80
  142. Top 5 Accuracy: 96.55
  143. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-base-p16_3rdparty_in1k_20221008-60b8c8bf.pth
  144. Converted From:
  145. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_base_224_1k.pth
  146. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  147. Config: configs/deit3/deit3-base-p16_64xb64_in1k.py
  148. - Name: deit3-base-p16_3rdparty_in1k-384px
  149. In Collection: DeiT3
  150. Metadata:
  151. FLOPs: 55538974464
  152. Parameters: 86877160
  153. Training Data:
  154. - ImageNet-1k
  155. Results:
  156. - Dataset: ImageNet-1k
  157. Task: Image Classification
  158. Metrics:
  159. Top 1 Accuracy: 85.08
  160. Top 5 Accuracy: 97.25
  161. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-base-p16_3rdparty_in1k-384px_20221009-e19e36d4.pth
  162. Converted From:
  163. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_base_384_1k.pth
  164. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  165. Config: configs/deit3/deit3-base-p16_64xb32_in1k-384px.py
  166. - Name: deit3-base-p16_in21k-pre_3rdparty_in1k
  167. In Collection: DeiT3
  168. Metadata:
  169. FLOPs: 17581972224
  170. Parameters: 86585320
  171. Training Data:
  172. - ImageNet-21k
  173. Results:
  174. - Dataset: ImageNet-1k
  175. Task: Image Classification
  176. Metrics:
  177. Top 1 Accuracy: 85.70
  178. Top 5 Accuracy: 97.75
  179. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-base-p16_in21k-pre_3rdparty_in1k_20221009-87983ca1.pth
  180. Converted From:
  181. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_base_224_21k.pth
  182. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  183. Config: configs/deit3/deit3-base-p16_64xb64_in1k.py
  184. - Name: deit3-base-p16_in21k-pre_3rdparty_in1k-384px
  185. In Collection: DeiT3
  186. Metadata:
  187. FLOPs: 55538974464
  188. Parameters: 86877160
  189. Training Data:
  190. - ImageNet-21k
  191. Results:
  192. - Dataset: ImageNet-1k
  193. Task: Image Classification
  194. Metrics:
  195. Top 1 Accuracy: 86.73
  196. Top 5 Accuracy: 98.11
  197. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-base-p16_in21k-pre_3rdparty_in1k-384px_20221009-5e4e37b9.pth
  198. Converted From:
  199. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_base_384_21k.pth
  200. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  201. Config: configs/deit3/deit3-base-p16_64xb32_in1k-384px.py
  202. - Name: deit3-large-p16_3rdparty_in1k
  203. In Collection: DeiT3
  204. Metadata:
  205. FLOPs: 61603111936
  206. Parameters: 304374760
  207. Training Data:
  208. - ImageNet-1k
  209. Results:
  210. - Dataset: ImageNet-1k
  211. Task: Image Classification
  212. Metrics:
  213. Top 1 Accuracy: 84.87
  214. Top 5 Accuracy: 97.01
  215. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-large-p16_3rdparty_in1k_20221009-03b427ea.pth
  216. Converted From:
  217. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_large_224_1k.pth
  218. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  219. Config: configs/deit3/deit3-large-p16_64xb64_in1k.py
  220. - Name: deit3-large-p16_3rdparty_in1k-384px
  221. In Collection: DeiT3
  222. Metadata:
  223. FLOPs: 191210034176
  224. Parameters: 304763880
  225. Training Data:
  226. - ImageNet-1k
  227. Results:
  228. - Dataset: ImageNet-1k
  229. Task: Image Classification
  230. Metrics:
  231. Top 1 Accuracy: 85.82
  232. Top 5 Accuracy: 97.60
  233. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-large-p16_3rdparty_in1k-384px_20221009-4317ce62.pth
  234. Converted From:
  235. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_large_384_1k.pth
  236. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  237. Config: configs/deit3/deit3-large-p16_64xb16_in1k-384px.py
  238. - Name: deit3-large-p16_in21k-pre_3rdparty_in1k
  239. In Collection: DeiT3
  240. Metadata:
  241. FLOPs: 61603111936
  242. Parameters: 304374760
  243. Training Data:
  244. - ImageNet-21k
  245. Results:
  246. - Dataset: ImageNet-1k
  247. Task: Image Classification
  248. Metrics:
  249. Top 1 Accuracy: 86.97
  250. Top 5 Accuracy: 98.24
  251. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-large-p16_in21k-pre_3rdparty_in1k_20221009-d8d27084.pth
  252. Converted From:
  253. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_large_224_21k.pth
  254. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  255. Config: configs/deit3/deit3-large-p16_64xb64_in1k.py
  256. - Name: deit3-large-p16_in21k-pre_3rdparty_in1k-384px
  257. In Collection: DeiT3
  258. Metadata:
  259. FLOPs: 191210034176
  260. Parameters: 304763880
  261. Training Data:
  262. - ImageNet-21k
  263. Results:
  264. - Dataset: ImageNet-1k
  265. Task: Image Classification
  266. Metrics:
  267. Top 1 Accuracy: 87.73
  268. Top 5 Accuracy: 98.51
  269. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-large-p16_in21k-pre_3rdparty_in1k-384px_20221009-75fea03f.pth
  270. Converted From:
  271. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_large_384_21k.pth
  272. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  273. Config: configs/deit3/deit3-large-p16_64xb16_in1k-384px.py
  274. - Name: deit3-huge-p14_3rdparty_in1k
  275. In Collection: DeiT3
  276. Metadata:
  277. FLOPs: 167400741120
  278. Parameters: 632126440
  279. Training Data:
  280. - ImageNet-1k
  281. Results:
  282. - Dataset: ImageNet-1k
  283. Task: Image Classification
  284. Metrics:
  285. Top 1 Accuracy: 85.21
  286. Top 5 Accuracy: 97.36
  287. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-huge-p14_3rdparty_in1k_20221009-e107bcb7.pth
  288. Converted From:
  289. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_huge_224_1k.pth
  290. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  291. Config: configs/deit3/deit3-huge-p14_64xb32_in1k.py
  292. - Name: deit3-huge-p14_in21k-pre_3rdparty_in1k
  293. In Collection: DeiT3
  294. Metadata:
  295. FLOPs: 167400741120
  296. Parameters: 632126440
  297. Training Data:
  298. - ImageNet-21k
  299. Results:
  300. - Dataset: ImageNet-1k
  301. Task: Image Classification
  302. Metrics:
  303. Top 1 Accuracy: 87.19
  304. Top 5 Accuracy: 98.26
  305. Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-huge-p14_in21k-pre_3rdparty_in1k_20221009-19b8a535.pth
  306. Converted From:
  307. Weights: https://dl.fbaipublicfiles.com/deit/deit_3_huge_224_1k.pth
  308. Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
  309. Config: configs/deit3/deit3-huge-p14_64xb32_in1k.py