Sorry, you need to enable JavaScript to visit this website.

facebooktwittermailshare

Dataset Culling: Towards Efficient Training of Distillation-based Domain Specific Models

Paper Details

Authors:
Edward Lee, Simon Wong, Mark Horowitz
Submitted On:
23 September 2019 - 10:34pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Kentaro Yoshioka
Paper Code:
1623
Document Year:
2019
Cite

Document Files

icip_1623_presentation.pdf

(85)

Subscribe

[1] Edward Lee, Simon Wong, Mark Horowitz, "Dataset Culling: Towards Efficient Training of Distillation-based Domain Specific Models", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4827. Accessed: Jun. 04, 2020.
@article{4827-19,
url = {http://sigport.org/4827},
author = {Edward Lee; Simon Wong; Mark Horowitz },
publisher = {IEEE SigPort},
title = {Dataset Culling: Towards Efficient Training of Distillation-based Domain Specific Models},
year = {2019} }
TY - EJOUR
T1 - Dataset Culling: Towards Efficient Training of Distillation-based Domain Specific Models
AU - Edward Lee; Simon Wong; Mark Horowitz
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4827
ER -
Edward Lee, Simon Wong, Mark Horowitz. (2019). Dataset Culling: Towards Efficient Training of Distillation-based Domain Specific Models. IEEE SigPort. http://sigport.org/4827
Edward Lee, Simon Wong, Mark Horowitz, 2019. Dataset Culling: Towards Efficient Training of Distillation-based Domain Specific Models. Available at: http://sigport.org/4827.
Edward Lee, Simon Wong, Mark Horowitz. (2019). "Dataset Culling: Towards Efficient Training of Distillation-based Domain Specific Models." Web.
1. Edward Lee, Simon Wong, Mark Horowitz. Dataset Culling: Towards Efficient Training of Distillation-based Domain Specific Models [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4827