Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning : An Optimization Perspective
Global covariance pooling (GCP) as an effective alternative to global average pooling has shown good capacity to improve deep convolutional neural networks (CNNs) in a variety of vision tasks. Although promising performance, it is still an open problem on how GCP (especially its post-normalization)...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 12 vom: 02. Dez., Seite 15802-15819
|
1. Verfasser: |
Wang, Qilong
(VerfasserIn) |
Weitere Verfasser: |
Zhang, Zhaolin,
Gao, Mingze,
Xie, Jiangtao,
Zhu, Pengfei,
Li, Peihua,
Zuo, Wangmeng,
Hu, Qinghua |
Format: | Online-Aufsatz
|
Sprache: | English |
Veröffentlicht: |
2023
|
Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
Schlagworte: | Journal Article |