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pytorch-image-models/results/results-imagenet-a-clean.csv

34 KiB

1modeltop1top1_errtop5top5_errparam_countimg_sizecropt_pctinterpolation
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268gluon_seresnext50_32x4d94.3305.67098.6201.38027.562240.875bicubic
269ecaresnet26t94.3005.70098.7101.29016.013200.950bicubic
270dpn10794.3005.70098.4701.53086.922240.875bicubic
271xception7194.2905.71098.6401.36042.342990.903bicubic
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276skresnext50_32x4d94.2605.74098.4701.53027.482240.875bicubic
277regnetx_12094.2405.76098.6701.33046.112240.875bicubic
278dpn9294.2205.78098.7301.27037.672240.875bicubic
279ecaresnet50d_pruned94.2105.79098.7301.27019.942240.875bicubic
280mixnet_xl94.2005.80098.3401.66011.902240.875bicubic
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282gluon_resnet101_v1d94.2005.80098.5701.43044.572240.875bicubic
283resmlp_36_22494.1905.81098.6601.34044.692240.875bicubic
284resnext50d_32x4d94.1905.81098.5701.43025.052240.875bicubic
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287regnety_08094.1805.82098.6801.32039.182240.875bicubic
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291regnety_06494.1505.85098.7401.26030.582240.875bicubic
292vit_base_patch16_sam_22494.1505.85098.6701.33086.572240.900bicubic
293efficientnet_b2_pruned94.1405.86098.5201.4808.312600.890bicubic
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295regnetx_16094.1205.88098.7401.26054.282240.875bicubic
296nf_regnet_b194.1205.88098.6201.38010.222880.900bicubic
297resnext50_32x4d94.1105.89098.3501.65025.032240.875bicubic
298ese_vovnet39b94.0905.91098.6601.34024.572240.875bicubic
299gluon_resnet152_v1b94.0805.92098.4601.54060.192240.875bicubic
300xcit_tiny_24_p16_22494.0805.92098.5101.49012.122241.000bicubic
301coat_lite_mini94.0505.95098.5401.46011.012240.900bicubic
302resmlp_24_22494.0205.98098.3301.67030.022240.875bicubic
303dpn13193.9906.01098.7201.28079.252240.875bicubic
304hrnet_w6493.9906.01098.6201.380128.062240.875bilinear
305halonet26t93.9806.02098.4901.51012.482560.950bicubic
306dla102x293.9606.04098.4801.52041.282240.875bilinear
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308tf_efficientnetv2_b193.9406.06098.6201.3808.142400.882bicubic
309resnetblur5093.9306.07098.5801.42025.562240.875bicubic
310tf_efficientnet_cc_b1_8e93.9206.08098.2501.75039.722400.882bicubic
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312regnetx_06493.8906.11098.6301.37026.212240.875bicubic
313regnetx_08093.8706.13098.5201.48039.572240.875bicubic
314regnety_04093.8606.14098.6401.36020.652240.875bicubic
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316efficientnet_em93.8406.16098.8101.1906.902400.882bicubic
317gluon_resnext50_32x4d93.8206.18098.4101.59025.032240.875bicubic
318lambda_resnet26t93.8206.18098.6501.35010.962560.940bicubic
319pit_xs_distilled_22493.8206.18098.6701.33011.002240.900bicubic
320eca_botnext26ts_25693.7906.21098.5001.50010.592560.950bicubic
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322gluon_resnet50_v1d93.7806.22098.4001.60025.582240.875bicubic
323xception6593.7706.23098.3601.64039.922990.903bicubic
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325gluon_resnet101_v1b93.7306.27098.4001.60044.552240.875bicubic
326wide_resnet101_293.7206.28098.5401.460126.892240.875bilinear
327res2net101_26w_4s93.7206.28098.3201.68045.212240.875bilinear
328legacy_seresnext50_32x4d93.7206.28098.5801.42027.562240.875bilinear
329lambda_resnet26rpt_25693.7206.28098.5001.50010.992560.940bicubic
330tf_efficientnet_b1_ap93.7106.29098.3601.6407.792400.882bicubic
331dpn68b93.6806.32098.5301.47012.612240.875bicubic
332gluon_resnet101_v1c93.6606.34098.4101.59044.572240.875bicubic
333vit_tiny_patch16_38493.6506.35098.6001.4005.793841.000bicubic
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335tf_efficientnet_b0_ns93.6206.38098.6401.3605.292240.875bicubic
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337cait_xxs24_22493.5906.41098.4401.56011.962241.000bicubic
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341hrnet_w3293.5206.48098.4401.56041.232240.875bilinear
342eca_halonext26ts93.5106.49098.2801.72010.762560.940bicubic
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353mixnet_l93.4306.57098.2201.7807.332240.875bicubic
354legacy_seresnet15293.4206.58098.3401.66066.822240.875bilinear
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358resnest26d93.3606.64098.6401.36017.072240.875bilinear
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364tf_mixnet_l93.3106.69098.0301.9707.332240.875bicubic
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399resnet26t92.7507.25098.2401.76016.012560.940bicubic
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513mixer_l16_22487.16012.84093.5306.470208.202240.875bicubic
514vgg1387.03012.97096.3103.690133.052240.875bilinear
515vgg1186.58013.42096.2903.710132.862240.875bilinear
516dla60x_c86.28013.72096.1603.8401.322240.875bilinear
517regnetx_00286.20013.80095.9704.0302.682240.875bicubic
518tf_mobilenetv3_small_10085.21014.79095.7804.2202.542240.875bilinear
519dla46x_c84.25015.75095.2804.7201.072240.875bilinear
520dla46_c83.64016.36094.9105.0901.302240.875bilinear
521tf_mobilenetv3_small_07583.48016.52094.8005.2002.042240.875bilinear
522tf_mobilenetv3_small_minimal_10081.39018.61093.6706.3302.042240.875bilinear