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Image Classification Accuracy (Top-1) on ImageNet (train)

75.3Top-1 AccuracySwAV
44.51652.50860.568.492May 11, 2020

Evaluation results

MethodLinks
SwAVarchitecture=R50-MLP (28M), pre-training epochs=800, evaluation augmentation=multi-crop, batch size=40962020.0575.3
BYOLarchitecture=R50-MLPhid(35M), pre-training epochs=1000, batch size=40962020.0574.3
SimCLRarchitecture=R50-MLP (28M), pre-training epochs=1000, batch size=40962020.0569.3
AMDIMarchitecture=Custom (626M), pre-training epochs=150, evaluation protocol=FastAutoAugment2020.0568.1
PCL v2architecture=R50-MLP (28M), pre-training epochs=2002020.0567.6
MoCo v2architecture=R50-MLP (28M), pre-training epochs=2002020.0567.5
CMCarchitecture=R50L+ab (47M), pre-training epochs=2802020.0564
PIRLarchitecture=R50 (24M), pre-training epochs=8002020.0563.6
SimCLRarchitecture=R50-MLP (28M), pre-training epochs=2002020.0561.9
PCLarchitecture=R50 (24M), pre-training epochs=2002020.0561.5
SelfLabelarchitecture=R50 (24M), pre-training epochs=4002020.0561.5
MoCoarchitecture=R50 (24M), pre-training epochs=2002020.0560.6
LocalAggarchitecture=R50 (24M), pre-training epochs=200, evaluation augmentation=10-crop2020.0560.2
BigBiGANarchitecture=R50 (24M)2020.0556.6
InstDiscarchitecture=R50 (24M), pre-training epochs=2002020.0554
Rotationarchitecture=R50 (24M)2020.0548.9
CPCarchitecture=R101 (28M)2020.0548.7
DeepClusterarchitecture=VGG(15M), pre-training epochs=1002020.0548.4
Jigsawarchitecture=R50 (24M), pre-training epochs=902020.0545.7