metafile.yml 24 KB

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  1. Collections:
  2. - Name: EfficientNet
  3. Metadata:
  4. Training Data: ImageNet-1k
  5. Architecture:
  6. - 1x1 Convolution
  7. - Average Pooling
  8. - Convolution
  9. - Dense Connections
  10. - Dropout
  11. - Inverted Residual Block
  12. - RMSProp
  13. - Squeeze-and-Excitation Block
  14. - Swish
  15. Paper:
  16. URL: https://arxiv.org/abs/1905.11946v5
  17. Title: "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks"
  18. README: configs/efficientnet/README.md
  19. Code:
  20. Version: v0.20.1
  21. URL: https://github.com/open-mmlab/mmpretrain/blob/v0.20.1/mmcls/models/backbones/efficientnet.py
  22. Models:
  23. - Name: efficientnet-b0_3rdparty_8xb32_in1k
  24. Metadata:
  25. FLOPs: 420592480
  26. Parameters: 5288548
  27. In Collection: EfficientNet
  28. Results:
  29. - Dataset: ImageNet-1k
  30. Metrics:
  31. Top 1 Accuracy: 76.74
  32. Top 5 Accuracy: 93.17
  33. Task: Image Classification
  34. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty_8xb32_in1k_20220119-a7e2a0b1.pth
  35. Config: configs/efficientnet/efficientnet-b0_8xb32_in1k.py
  36. Converted From:
  37. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b0.tar.gz
  38. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  39. - Name: efficientnet-b0_3rdparty_8xb32-aa_in1k
  40. Metadata:
  41. FLOPs: 420592480
  42. Parameters: 5288548
  43. In Collection: EfficientNet
  44. Results:
  45. - Dataset: ImageNet-1k
  46. Metrics:
  47. Top 1 Accuracy: 77.26
  48. Top 5 Accuracy: 93.41
  49. Task: Image Classification
  50. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty_8xb32-aa_in1k_20220119-8d939117.pth
  51. Config: configs/efficientnet/efficientnet-b0_8xb32_in1k.py
  52. Converted From:
  53. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b0.tar.gz
  54. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  55. - Name: efficientnet-b0_3rdparty_8xb32-aa-advprop_in1k
  56. Metadata:
  57. FLOPs: 420592480
  58. Parameters: 5288548
  59. In Collection: EfficientNet
  60. Results:
  61. - Dataset: ImageNet-1k
  62. Metrics:
  63. Top 1 Accuracy: 77.53
  64. Top 5 Accuracy: 93.61
  65. Task: Image Classification
  66. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty_8xb32-aa-advprop_in1k_20220119-26434485.pth
  67. Config: configs/efficientnet/efficientnet-b0_8xb32-01norm_in1k.py
  68. Converted From:
  69. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b0.tar.gz
  70. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  71. - Name: efficientnet-b0_3rdparty-ra-noisystudent_in1k
  72. Metadata:
  73. FLOPs: 420592480
  74. Parameters: 5288548
  75. In Collection: EfficientNet
  76. Results:
  77. - Dataset: ImageNet-1k
  78. Metrics:
  79. Top 1 Accuracy: 77.63
  80. Top 5 Accuracy: 94.00
  81. Task: Image Classification
  82. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty-ra-noisystudent_in1k_20221103-75cd08d3.pth
  83. Config: configs/efficientnet/efficientnet-b0_8xb32_in1k.py
  84. Converted From:
  85. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b0.tar.gz
  86. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  87. - Name: efficientnet-b1_3rdparty_8xb32_in1k
  88. Metadata:
  89. FLOPs: 744059920
  90. Parameters: 7794184
  91. In Collection: EfficientNet
  92. Results:
  93. - Dataset: ImageNet-1k
  94. Metrics:
  95. Top 1 Accuracy: 78.68
  96. Top 5 Accuracy: 94.28
  97. Task: Image Classification
  98. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty_8xb32_in1k_20220119-002556d9.pth
  99. Config: configs/efficientnet/efficientnet-b1_8xb32_in1k.py
  100. Converted From:
  101. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b1.tar.gz
  102. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  103. - Name: efficientnet-b1_3rdparty_8xb32-aa_in1k
  104. Metadata:
  105. FLOPs: 744059920
  106. Parameters: 7794184
  107. In Collection: EfficientNet
  108. Results:
  109. - Dataset: ImageNet-1k
  110. Metrics:
  111. Top 1 Accuracy: 79.20
  112. Top 5 Accuracy: 94.42
  113. Task: Image Classification
  114. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty_8xb32-aa_in1k_20220119-619d8ae3.pth
  115. Config: configs/efficientnet/efficientnet-b1_8xb32_in1k.py
  116. Converted From:
  117. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b1.tar.gz
  118. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  119. - Name: efficientnet-b1_3rdparty_8xb32-aa-advprop_in1k
  120. Metadata:
  121. FLOPs: 744059920
  122. Parameters: 7794184
  123. In Collection: EfficientNet
  124. Results:
  125. - Dataset: ImageNet-1k
  126. Metrics:
  127. Top 1 Accuracy: 79.52
  128. Top 5 Accuracy: 94.43
  129. Task: Image Classification
  130. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty_8xb32-aa-advprop_in1k_20220119-5715267d.pth
  131. Config: configs/efficientnet/efficientnet-b1_8xb32-01norm_in1k.py
  132. Converted From:
  133. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b1.tar.gz
  134. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  135. - Name: efficientnet-b1_3rdparty-ra-noisystudent_in1k
  136. Metadata:
  137. FLOPs: 744059920
  138. Parameters: 7794184
  139. In Collection: EfficientNet
  140. Results:
  141. - Dataset: ImageNet-1k
  142. Metrics:
  143. Top 1 Accuracy: 81.44
  144. Top 5 Accuracy: 95.83
  145. Task: Image Classification
  146. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty-ra-noisystudent_in1k_20221103-756bcbc0.pth
  147. Config: configs/efficientnet/efficientnet-b1_8xb32_in1k.py
  148. Converted From:
  149. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b1.tar.gz
  150. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  151. - Name: efficientnet-b2_3rdparty_8xb32_in1k
  152. Metadata:
  153. FLOPs: 1066620392
  154. Parameters: 9109994
  155. In Collection: EfficientNet
  156. Results:
  157. - Dataset: ImageNet-1k
  158. Metrics:
  159. Top 1 Accuracy: 79.64
  160. Top 5 Accuracy: 94.80
  161. Task: Image Classification
  162. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty_8xb32_in1k_20220119-ea374a30.pth
  163. Config: configs/efficientnet/efficientnet-b2_8xb32_in1k.py
  164. Converted From:
  165. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b2.tar.gz
  166. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  167. - Name: efficientnet-b2_3rdparty_8xb32-aa_in1k
  168. Metadata:
  169. FLOPs: 1066620392
  170. Parameters: 9109994
  171. In Collection: EfficientNet
  172. Results:
  173. - Dataset: ImageNet-1k
  174. Metrics:
  175. Top 1 Accuracy: 80.21
  176. Top 5 Accuracy: 94.96
  177. Task: Image Classification
  178. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty_8xb32-aa_in1k_20220119-dd61e80b.pth
  179. Config: configs/efficientnet/efficientnet-b2_8xb32_in1k.py
  180. Converted From:
  181. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b2.tar.gz
  182. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  183. - Name: efficientnet-b2_3rdparty_8xb32-aa-advprop_in1k
  184. Metadata:
  185. FLOPs: 1066620392
  186. Parameters: 9109994
  187. In Collection: EfficientNet
  188. Results:
  189. - Dataset: ImageNet-1k
  190. Metrics:
  191. Top 1 Accuracy: 80.45
  192. Top 5 Accuracy: 95.07
  193. Task: Image Classification
  194. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty_8xb32-aa-advprop_in1k_20220119-1655338a.pth
  195. Config: configs/efficientnet/efficientnet-b2_8xb32-01norm_in1k.py
  196. Converted From:
  197. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b2.tar.gz
  198. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  199. - Name: efficientnet-b2_3rdparty-ra-noisystudent_in1k
  200. Metadata:
  201. FLOPs: 1066620392
  202. Parameters: 9109994
  203. In Collection: EfficientNet
  204. Results:
  205. - Dataset: ImageNet-1k
  206. Metrics:
  207. Top 1 Accuracy: 82.47
  208. Top 5 Accuracy: 96.23
  209. Task: Image Classification
  210. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty-ra-noisystudent_in1k_20221103-301ed299.pth
  211. Config: configs/efficientnet/efficientnet-b2_8xb32_in1k.py
  212. Converted From:
  213. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b2.tar.gz
  214. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  215. - Name: efficientnet-b3_3rdparty_8xb32_in1k
  216. Metadata:
  217. FLOPs: 1953798216
  218. Parameters: 12233232
  219. In Collection: EfficientNet
  220. Results:
  221. - Dataset: ImageNet-1k
  222. Metrics:
  223. Top 1 Accuracy: 81.01
  224. Top 5 Accuracy: 95.34
  225. Task: Image Classification
  226. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32_in1k_20220119-4b4d7487.pth
  227. Config: configs/efficientnet/efficientnet-b3_8xb32_in1k.py
  228. Converted From:
  229. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b3.tar.gz
  230. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  231. - Name: efficientnet-b3_3rdparty_8xb32-aa_in1k
  232. Metadata:
  233. FLOPs: 1953798216
  234. Parameters: 12233232
  235. In Collection: EfficientNet
  236. Results:
  237. - Dataset: ImageNet-1k
  238. Metrics:
  239. Top 1 Accuracy: 81.58
  240. Top 5 Accuracy: 95.67
  241. Task: Image Classification
  242. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32-aa_in1k_20220119-5b4887a0.pth
  243. Config: configs/efficientnet/efficientnet-b3_8xb32_in1k.py
  244. Converted From:
  245. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b3.tar.gz
  246. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  247. - Name: efficientnet-b3_3rdparty_8xb32-aa-advprop_in1k
  248. Metadata:
  249. FLOPs: 1953798216
  250. Parameters: 12233232
  251. In Collection: EfficientNet
  252. Results:
  253. - Dataset: ImageNet-1k
  254. Metrics:
  255. Top 1 Accuracy: 81.81
  256. Top 5 Accuracy: 95.69
  257. Task: Image Classification
  258. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32-aa-advprop_in1k_20220119-53b41118.pth
  259. Config: configs/efficientnet/efficientnet-b3_8xb32-01norm_in1k.py
  260. Converted From:
  261. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b3.tar.gz
  262. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  263. - Name: efficientnet-b3_3rdparty-ra-noisystudent_in1k
  264. Metadata:
  265. FLOPs: 1953798216
  266. Parameters: 12233232
  267. In Collection: EfficientNet
  268. Results:
  269. - Dataset: ImageNet-1k
  270. Metrics:
  271. Top 1 Accuracy: 84.02
  272. Top 5 Accuracy: 96.89
  273. Task: Image Classification
  274. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty-ra-noisystudent_in1k_20221103-a4ab5fd6.pth
  275. Config: configs/efficientnet/efficientnet-b3_8xb32_in1k.py
  276. Converted From:
  277. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b3.tar.gz
  278. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  279. - Name: efficientnet-b4_3rdparty_8xb32_in1k
  280. Metadata:
  281. FLOPs: 4659080176
  282. Parameters: 19341616
  283. In Collection: EfficientNet
  284. Results:
  285. - Dataset: ImageNet-1k
  286. Metrics:
  287. Top 1 Accuracy: 82.57
  288. Top 5 Accuracy: 96.09
  289. Task: Image Classification
  290. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty_8xb32_in1k_20220119-81fd4077.pth
  291. Config: configs/efficientnet/efficientnet-b4_8xb32_in1k.py
  292. Converted From:
  293. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b4.tar.gz
  294. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  295. - Name: efficientnet-b4_3rdparty_8xb32-aa_in1k
  296. Metadata:
  297. FLOPs: 4659080176
  298. Parameters: 19341616
  299. In Collection: EfficientNet
  300. Results:
  301. - Dataset: ImageNet-1k
  302. Metrics:
  303. Top 1 Accuracy: 82.95
  304. Top 5 Accuracy: 96.26
  305. Task: Image Classification
  306. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty_8xb32-aa_in1k_20220119-45b8bd2b.pth
  307. Config: configs/efficientnet/efficientnet-b4_8xb32_in1k.py
  308. Converted From:
  309. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b4.tar.gz
  310. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  311. - Name: efficientnet-b4_3rdparty_8xb32-aa-advprop_in1k
  312. Metadata:
  313. FLOPs: 4659080176
  314. Parameters: 19341616
  315. In Collection: EfficientNet
  316. Results:
  317. - Dataset: ImageNet-1k
  318. Metrics:
  319. Top 1 Accuracy: 83.25
  320. Top 5 Accuracy: 96.44
  321. Task: Image Classification
  322. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty_8xb32-aa-advprop_in1k_20220119-38c2238c.pth
  323. Config: configs/efficientnet/efficientnet-b4_8xb32-01norm_in1k.py
  324. Converted From:
  325. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b4.tar.gz
  326. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  327. - Name: efficientnet-b4_3rdparty-ra-noisystudent_in1k
  328. Metadata:
  329. FLOPs: 4659080176
  330. Parameters: 19341616
  331. In Collection: EfficientNet
  332. Results:
  333. - Dataset: ImageNet-1k
  334. Metrics:
  335. Top 1 Accuracy: 85.25
  336. Top 5 Accuracy: 97.52
  337. Task: Image Classification
  338. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty-ra-noisystudent_in1k_20221103-16ba8a2d.pth
  339. Config: configs/efficientnet/efficientnet-b4_8xb32_in1k.py
  340. Converted From:
  341. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b4.tar.gz
  342. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  343. - Name: efficientnet-b5_3rdparty_8xb32_in1k
  344. Metadata:
  345. FLOPs: 10799472560
  346. Parameters: 30389784
  347. In Collection: EfficientNet
  348. Results:
  349. - Dataset: ImageNet-1k
  350. Metrics:
  351. Top 1 Accuracy: 83.18
  352. Top 5 Accuracy: 96.47
  353. Task: Image Classification
  354. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b5_3rdparty_8xb32_in1k_20220119-e9814430.pth
  355. Config: configs/efficientnet/efficientnet-b5_8xb32_in1k.py
  356. Converted From:
  357. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b5.tar.gz
  358. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  359. - Name: efficientnet-b5_3rdparty_8xb32-aa_in1k
  360. Metadata:
  361. FLOPs: 10799472560
  362. Parameters: 30389784
  363. In Collection: EfficientNet
  364. Results:
  365. - Dataset: ImageNet-1k
  366. Metrics:
  367. Top 1 Accuracy: 83.82
  368. Top 5 Accuracy: 96.76
  369. Task: Image Classification
  370. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b5_3rdparty_8xb32-aa_in1k_20220119-2cab8b78.pth
  371. Config: configs/efficientnet/efficientnet-b5_8xb32_in1k.py
  372. Converted From:
  373. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b5.tar.gz
  374. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  375. - Name: efficientnet-b5_3rdparty_8xb32-aa-advprop_in1k
  376. Metadata:
  377. FLOPs: 10799472560
  378. Parameters: 30389784
  379. In Collection: EfficientNet
  380. Results:
  381. - Dataset: ImageNet-1k
  382. Metrics:
  383. Top 1 Accuracy: 84.21
  384. Top 5 Accuracy: 96.98
  385. Task: Image Classification
  386. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b5_3rdparty_8xb32-aa-advprop_in1k_20220119-f57a895a.pth
  387. Config: configs/efficientnet/efficientnet-b5_8xb32-01norm_in1k.py
  388. Converted From:
  389. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b5.tar.gz
  390. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  391. - Name: efficientnet-b5_3rdparty-ra-noisystudent_in1k
  392. Metadata:
  393. FLOPs: 10799472560
  394. Parameters: 30389784
  395. In Collection: EfficientNet
  396. Results:
  397. - Dataset: ImageNet-1k
  398. Metrics:
  399. Top 1 Accuracy: 86.08
  400. Top 5 Accuracy: 97.75
  401. Task: Image Classification
  402. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b5_3rdparty-ra-noisystudent_in1k_20221103-111a185f.pth
  403. Config: configs/efficientnet/efficientnet-b5_8xb32_in1k.py
  404. Converted From:
  405. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b5.tar.gz
  406. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  407. - Name: efficientnet-b6_3rdparty_8xb32-aa_in1k
  408. Metadata:
  409. FLOPs: 19971777560
  410. Parameters: 43040704
  411. In Collection: EfficientNet
  412. Results:
  413. - Dataset: ImageNet-1k
  414. Metrics:
  415. Top 1 Accuracy: 84.05
  416. Top 5 Accuracy: 96.82
  417. Task: Image Classification
  418. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b6_3rdparty_8xb32-aa_in1k_20220119-45b03310.pth
  419. Config: configs/efficientnet/efficientnet-b6_8xb32_in1k.py
  420. Converted From:
  421. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b6.tar.gz
  422. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  423. - Name: efficientnet-b6_3rdparty_8xb32-aa-advprop_in1k
  424. Metadata:
  425. FLOPs: 19971777560
  426. Parameters: 43040704
  427. In Collection: EfficientNet
  428. Results:
  429. - Dataset: ImageNet-1k
  430. Metrics:
  431. Top 1 Accuracy: 84.74
  432. Top 5 Accuracy: 97.14
  433. Task: Image Classification
  434. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b6_3rdparty_8xb32-aa-advprop_in1k_20220119-bfe3485e.pth
  435. Config: configs/efficientnet/efficientnet-b6_8xb32-01norm_in1k.py
  436. Converted From:
  437. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b6.tar.gz
  438. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  439. - Name: efficientnet-b6_3rdparty-ra-noisystudent_in1k
  440. Metadata:
  441. FLOPs: 19971777560
  442. Parameters: 43040704
  443. In Collection: EfficientNet
  444. Results:
  445. - Dataset: ImageNet-1k
  446. Metrics:
  447. Top 1 Accuracy: 86.47
  448. Top 5 Accuracy: 97.87
  449. Task: Image Classification
  450. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b6_3rdparty-ra-noisystudent_in1k_20221103-7de7d2cc.pth
  451. Config: configs/efficientnet/efficientnet-b6_8xb32_in1k.py
  452. Converted From:
  453. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b6.tar.gz
  454. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  455. - Name: efficientnet-b7_3rdparty_8xb32-aa_in1k
  456. Metadata:
  457. FLOPs: 39316473392
  458. Parameters: 66347960
  459. In Collection: EfficientNet
  460. Results:
  461. - Dataset: ImageNet-1k
  462. Metrics:
  463. Top 1 Accuracy: 84.38
  464. Top 5 Accuracy: 96.88
  465. Task: Image Classification
  466. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b7_3rdparty_8xb32-aa_in1k_20220119-bf03951c.pth
  467. Config: configs/efficientnet/efficientnet-b7_8xb32_in1k.py
  468. Converted From:
  469. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b7.tar.gz
  470. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  471. - Name: efficientnet-b7_3rdparty_8xb32-aa-advprop_in1k
  472. Metadata:
  473. FLOPs: 39316473392
  474. Parameters: 66347960
  475. In Collection: EfficientNet
  476. Results:
  477. - Dataset: ImageNet-1k
  478. Metrics:
  479. Top 1 Accuracy: 85.14
  480. Top 5 Accuracy: 97.23
  481. Task: Image Classification
  482. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b7_3rdparty_8xb32-aa-advprop_in1k_20220119-c6dbff10.pth
  483. Config: configs/efficientnet/efficientnet-b7_8xb32-01norm_in1k.py
  484. Converted From:
  485. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b7.tar.gz
  486. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  487. - Name: efficientnet-b7_3rdparty-ra-noisystudent_in1k
  488. Metadata:
  489. FLOPs: 39316473392
  490. Parameters: 66347960
  491. In Collection: EfficientNet
  492. Results:
  493. - Dataset: ImageNet-1k
  494. Metrics:
  495. Top 1 Accuracy: 86.83
  496. Top 5 Accuracy: 98.08
  497. Task: Image Classification
  498. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b7_3rdparty-ra-noisystudent_in1k_20221103-a82894bc.pth
  499. Config: configs/efficientnet/efficientnet-b7_8xb32_in1k.py
  500. Converted From:
  501. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b7.tar.gz
  502. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  503. - Name: efficientnet-b8_3rdparty_8xb32-aa-advprop_in1k
  504. Metadata:
  505. FLOPs: 64999827816
  506. Parameters: 87413142
  507. In Collection: EfficientNet
  508. Results:
  509. - Dataset: ImageNet-1k
  510. Metrics:
  511. Top 1 Accuracy: 85.38
  512. Top 5 Accuracy: 97.28
  513. Task: Image Classification
  514. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b8_3rdparty_8xb32-aa-advprop_in1k_20220119-297ce1b7.pth
  515. Config: configs/efficientnet/efficientnet-b8_8xb32-01norm_in1k.py
  516. Converted From:
  517. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b8.tar.gz
  518. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  519. - Name: efficientnet-l2_3rdparty-ra-noisystudent_in1k-800px
  520. Metadata:
  521. FLOPs: 174203533416
  522. Parameters: 480309308
  523. In Collection: EfficientNet
  524. Results:
  525. - Dataset: ImageNet-1k
  526. Metrics:
  527. Top 1 Accuracy: 88.33
  528. Top 5 Accuracy: 98.65
  529. Task: Image Classification
  530. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-l2_3rdparty-ra-noisystudent_in1k_20221103-be73be13.pth
  531. Config: configs/efficientnet/efficientnet-l2_8xb8_in1k-800px.py
  532. Converted From:
  533. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-l2.tar.gz
  534. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
  535. - Name: efficientnet-l2_3rdparty-ra-noisystudent_in1k-475px
  536. Metadata:
  537. FLOPs: 484984099280
  538. Parameters: 480309308
  539. In Collection: EfficientNet
  540. Results:
  541. - Dataset: ImageNet-1k
  542. Metrics:
  543. Top 1 Accuracy: 88.18
  544. Top 5 Accuracy: 98.55
  545. Task: Image Classification
  546. Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-l2_3rdparty-ra-noisystudent_in1k-475px_20221103-5a0d8058.pth
  547. Config: configs/efficientnet/efficientnet-l2_8xb32_in1k-475px.py
  548. Converted From:
  549. Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-l2_475.tar.gz
  550. Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet