SPA<sup>2</sup>Net: Structure-Preserved Attention Activated Network for Weakly Supervised Object Localization-Reference-Cited by-同舟云学术

SPA²Net: Structure-Preserved Attention Activated Network for Weakly Supervised Object Localization

Author:

Chen Dong¹^ORCID,Pan Xingjia²,Tang Fan³^ORCID,Dong Weiming⁴^ORCID,Xu Changsheng⁴^ORCID

Affiliation:

1. School of Artificial Intelligence, Jilin University, Changchun, China

2. Momenta, Beijing, China

3. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

4. Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference60 articles.

2. Rectified linear units improve restricted Boltzmann machines;nair;Proc ICML,2010

4. Efficient self-supervised vision transformers for representation learning;li;arXiv 2106 09785,2021

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