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Image Classification on MNIST (test) (Test Accuracy)

99.3Test AccuracyFRePo
88.27691.1389496.862Jun 1, 2022

Evaluation results

MethodLinks
FRePoImg/Cls=50, Distillation Architecture=Conv-IN2022.0699.3
DSAImg/Cls=502022.0699.2
FRePoImg/Cls=50, Distillation Architecture=Conv-BN2022.0699.2
FRePoImg/Cls=50, Distillation Architecture=DCConv-IN2022.0698.9
FRePoImg/Cls=10, Distillation Architecture=Conv-IN2022.0698.8
FRePoImg/Cls=10, Distillation Architecture=Conv-BN2022.0698.6
DMImg/Cls=502022.0698.6
MTTImg/Cls=502022.0698.5
FRePoImg/Cls=10, Distillation Architecture=DCConv-IN2022.0698.4
KIPImg/Cls=502022.0698.3
DSAImg/Cls=102022.0697.9
DMImg/Cls=102022.0697.6
KIPImg/Cls=102022.0697.5
MTTImg/Cls=102022.0697.3
FRePoImg/Cls=1, Distillation Architecture=Conv-IN2022.0692.7
FRePoImg/Cls=1, Distillation Architecture=Conv-BN2022.0692.6
MTTImg/Cls=12022.0691.4
FRePoImg/Cls=1, Distillation Architecture=DCConv-IN2022.0691.1
KIPImg/Cls=12022.0690.1
DMImg/Cls=12022.0689.9
DSAImg/Cls=12022.0688.7