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Pytorch Implementation of Feature Boosting and Suppresion

Pytorch implementation of Dynamic Channel Pruning: Feature Boosting and Suppression.

image

Results

baseline d=1.0 d=0.9 d=0.8 d=0.7 d=0.6 d=0.5 d=0.4 d=0.3
Acc 87.3% 86.31% 86.43% 86.65% 86.65% 85.69% 85.45% 83.91% 82.51%
MACs 1.74 1.67 1.38 1.11 0.84 0.62 0.44 0.28 0.16
  • d: rate of channel pruning
  • MACs: multiply-accumulate operations image

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63days avatar sehkmg avatar

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