41 citations · 65 across the 7 of their papers we have counts for
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cs.CV2019
Investigating Channel Pruning through Structural Redundancy Reduction -- A Statistical Study
Chengcheng Li, Zi Wang, Dali Wang +2
Most existing channel pruning methods formulate the pruning task from a perspective of inefficiency reduction which iteratively rank and remove the least important filters, or find…
cs.CV2019
Speeding up convolutional networks pruning with coarse ranking
Zi Wang, Chengcheng Li, Dali Wang +2
Channel-based pruning has achieved significant successes in accelerating deep convolutional neural network, whose pipeline is an iterative three-step procedure: ranking, pruning an…
cs.CV2019★ 4 cited
Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers
Chengcheng Li, Zi Wang, Xiangyang Wang +1
Channel pruning has been identified as an effective approach to constructing efficient network structures. Its typical pipeline requires iterative pruning and fine-tuning. In this…