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. 2022 Jun 1;2022:8039281. doi: 10.1155/2022/8039281

Table 6.

ResNet50 on ImageNet100.

Pruning iteration Params (M) FLOPS (M) Pruned ratio (%) Val. acc. (%)
Params FLOPS
Baseline 23.71 4116.69 79.98
1 13.33 2388.97 43.78 41.97 80.35
2 8.64 1569.34 63.56 61.88 80.39
3 6.32 1156.42 73.34 71.91 79.82
4 5.10 895.66 78.49 78.24 79.30
5 4.30 739.39 81.86 82.04 78.08

The bold values mean that the best optimized network is obtained at the 4th iteration.