Improving Region Based CNN Object Detector Using Bayesian Optimization

Authors

Amgad Muhammad, American University in Cairo
Mohamed Moustafa, American University in CairoFollow

Files

Department

Computer Science & Engineering Department

Abstract

[abstract not available]

Publication Date

7-2-2018

Document Type

Book Chapter

Book Title

IEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018

ISBN

SCOPUS_ID:85066305337

Publisher

IEEE

City

Piscataway, New Jersey

First Page

32

Last Page

36

Keywords

Bayesian optimization, CNN, computer vision, deep learning, object detection

Recommended Citation

APA Citation

Muhammad, A. & Moustafa, M. (2018). Improving Region Based CNN Object Detector Using Bayesian Optimization. IEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018 (pp. 32-36). IEEE.

MLA Citation

Muhammad, Amgad, et al. "Improving Region Based CNN Object Detector Using Bayesian Optimization." IEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018, IEEE, 2018. pp. 32-36