Joint Representation Learning and Keypoint Detection for Cross-View Geo-Localization-Reference-Cited by-同舟云学术

Joint Representation Learning and Keypoint Detection for Cross-View Geo-Localization

Author:

Lin Jinliang¹^ORCID,Zheng Zhedong²^ORCID,Zhong Zhun³^ORCID,Luo Zhiming¹^ORCID,Li Shaozi¹^ORCID,Yang Yi⁴^ORCID,Sebe Nicu³^ORCID

Affiliation:

1. Department of Artificial Intelligence, Xiamen University, Xiamen, China

2. NExT++, School of Computing, National University of Singapore, Singapore

3. Department of Information Engineering and Computer Science (DISI), University of Trento, Trento, Italy

4. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

European Union Funding for Research and Innovation Horizon 2020 Project AI4Media

Progetti di Ricerca di Interesse Nazionale Project CREATIVE Prot

Zhejiang Lab’s International Talent Fund for Young Professionals

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference79 articles.

3. Deep sparse rectifier neural networks;glorot;Proc AISTATS,2011

4. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;Proc ICML,2015

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