Classification on CIFAR-10 (test) (r=0.1 to r=0.5) benchmark leaderboard · SOTA2 Research

Classification on CIFAR-10 (test) (r=0.1 to r=0.5)

93.61Accuracy (r=0.1)MLNT

Evaluation Results

Method	Links
MLNT2018.12		93.61	93.25	92.82	92.3	82.09
MLNT2018.12		93.36	92.98	92.59	91.87	82.25
MLNT2018.12		93.33	92.97	92.43	90.93	81.47
Joint Optimization2018.12		93.2	92.7	92.4	91.5	84.6
MLNT2018.12		93.05	92.19	91.47	88.69	78.44
MLNT2018.12		93.01	92.65	91.87	90.6	81.53
MLNT2018.12		92.89	91.84	90.55	88.7	79.95
Forward2018.12		92.4	91.4	91	90.3	83.8
CNN-CRF2018.12		92	91.5	90.7	89.5	84
Cross Entropy2018.12		91.8	90.8	90	87.1	77.3
Cross Entropy2018.12		91.04	90.19	88.88	86.34	77.48