Image Classification on CIFAR-10 (Top-1 Accuracy and Pruning Efficiency) benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR-10 (Top-1 Accuracy and Pruning Efficiency)

95.2Top-1 AccDECORE

Evaluation Results

Method	Links
DECORE2021.06		95.2	—	23	—	19.8
GoogLeNet2021.06		95.05	—	0	—	0
L12021.06		94.54	—	42.9	—	32.9
HRank2021.06		94.53	—	55.4	—	54.9
DECORE2021.06		94.51	—	80.9	—	78.5
DECORE2021.06		94.33	—	86.1	—	84.7
HRank2021.06		94.07	—	69.8	—	70.4
DECORE2021.06		94.02	—	63	—	35.3
VGG162021.06		93.96	—	0	—	0
GAL2021.06		93.93	—	49.3	—	38.2
VGG192021.06		93.76	—	0	—	0
DECORE2021.06		93.56	—	89	—	64.8
HRank2021.06		93.43	—	82.9	—	53.5
L12021.06		93.4	—	64	—	34.3
Zhao et al.2021.06		93.18	—	73.3	—	39.1
SSS*2021.06		93.02	—	73.8	—	41.6
DECORE2021.06		92.44	—	96.6	—	81.5
HRank2021.06		92.34	—	82.1	—	65.3
GAL-ApoZ2021.06		92.11	—	53.7	—	50
GAL2021.06		92.03	—	77.6	—	39.6
DECORE2021.06		91.68	—	98.3	—	88.3
DECORE2021.06		91.65	—	98.5	—	89
N2N2021.06		91.64	—	95	—	—
HRank2021.06		91.23	—	92	—	76.5
GAL2021.06		90.73	—	82.2	—	45.2