🎉 我们关于轻量化网络的工作 CondenseNet V2 被计算机视觉顶会 CVPR2021 接收!
- 发布时间:
- 2021-06-15
- 文章标题:
- 🎉 我们关于轻量化网络的工作 CondenseNet V2 被计算机视觉顶会 CVPR2021 接收!
- 内容:

CondenseNet V2: Sparse Feature Reactivation for Deep Networks.[PDF][code][知乎]
Le Yang*, Haojun Jiang*, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang✉, Qi Tian.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021
We propose a new feature reusing method in deep networks through dense connectivity, which can simultaneously learn to 1) selectively reuse a set of most important features from preceding layers; and 2) actively update a set of preceding features to increase their utility for later layers.




