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. , 32-36
https://fount.aucegypt.edu/faculty_book_chapters/209

MLA Citation

Muhammad, Amgad, et al. Improving Region Based CNN Object Detector Using Bayesian Optimization. IEEE, 2018.pp. 32-36
https://fount.aucegypt.edu/faculty_book_chapters/209