Towards Efficient Model Compression via Learned Global Ranking

CVPR 2020 Ting-Wu ChinRuizhou DingCha ZhangDiana Marculescu

Pruning convolutional filters has demonstrated its effectiveness in compressing ConvNets. Prior art in filter pruning requires users to specify a target model complexity (e.g., model size or FLOP count) for the resulting architecture... (read more)

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