147 citations · 334 across the 7 of their papers we have counts for
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2 papers · 1 filter
cs.CV2018★ 34 cited
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference
Jian-Hao Luo, Jianxin Wu
Channel pruning is an important family of methods to speed up deep model's inference. Previous filter pruning algorithms regard channel pruning and model fine-tuning as two indepen…
cs.CV2018★ 1 cited
Learning Effective Binary Visual Representations with Deep Networks
Jianxin Wu, Jian-Hao Luo
Although traditionally binary visual representations are mainly designed to reduce computational and storage costs in the image retrieval research, this paper argues that binary vi…