Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Region-based dropout with attention prior for weakly supervised object localization.

J. Choe, D. Han, S. Yun, J. Ha, S. Oh, and H. Shim. Pattern Recognit., (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Myeong-Hwan Choe

Jiyoung Choe

Chungho Choe

Ibrahim Choeb

Hwa Sook Choe

Other publications of authors with the same name

Improved Techniques For Weakly-Supervised Object Localization.J. Choe, J. Park, and H. Shim. CoRR, (2018)Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels.S. Yun, S. Oh, B. Heo, D. Han, J. Choe, and S. Chun. CVPR, page 2340-2350. Computer Vision Foundation / IEEE, (2021)Face Generation for Low-Shot Learning Using Generative Adversarial Networks.J. Choe, S. Park, K. Kim, J. Park, D. Kim, and H. Shim. ICCV Workshops, page 1940-1948. IEEE Computer Society, (2017)Inverse lighting for non-homogeneous objects from color and depth image using wavelet representation.J. Choe, and H. Shim. Computational Imaging, volume 9401 of SPIE Proceedings, page 94010L. IS&T/SPIE, (2015)Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation.J. Choe, S. Lee, and H. Shim. IEEE Trans. Pattern Anal. Mach. Intell., 43 (12): 4256-4271 (2021)CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features.S. Yun, D. Han, S. Chun, S. Oh, Y. Yoo, and J. Choe. ICCV, page 6022-6031. IEEE, (2019)An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods.S. Chun, S. Oh, S. Yun, D. Han, J. Choe, and Y. Yoo. CoRR, (2020)Robust approach to inverse lighting using RGB-D images.J. Choe, and H. Shim. Inf. Sci., (2018)Unsupervised Object Localization using Generative Adversarial Networks.J. Choe, J. Park, and H. Shim. CoRR, (2018)Region-based dropout with attention prior for weakly supervised object localization.J. Choe, D. Han, S. Yun, J. Ha, S. Oh, and H. Shim. Pattern Recognit., (2021)

BibSonomy

Disambiguation of "Choe, Junsuk"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Region-based dropout with attention prior for weakly supervised object localization.

Please choose a person to relate this publication to

Myeong-Hwan Choe

Jiyoung Choe

Chungho Choe

Ibrahim Choeb

Hwa Sook Choe

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Choe, Junsuk"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Region-based dropout with attention prior for weakly supervised object localization.

Please choose a person to relate this publication to

Myeong-Hwan Choe

Jiyoung Choe

Chungho Choe

Ibrahim Choeb

Hwa Sook Choe

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Region-based dropout with attention prior for weakly supervised object localization.