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CondenseNet V2 - Sparse Feature Reactivation for Deep Networks.

CVPR, pp.3569-3578, (2021)

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Abstract

Reusing features in deep networks through dense connectivity is an effective way to achieve high computational efficiency. The recent proposed CondenseNet has shown that this mechanism can be further improved if redundant features are removed. In this paper, we propose an alternative approach named sparse feature reactivation (SFR), aim...More

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Author
Le Yang
Le Yang
Haojun Jiang
Haojun Jiang
Ruojin Cai
Ruojin Cai
Yulin Wang
Yulin Wang
Shiji Song
Shiji Song
Qi Tian
Qi Tian
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